- Increase O2 to 100%, evaluate ventilation
- Remove suspected trigger(s)
- If latex is suspected: thoroughly wash area, have surgeons change to non-latex gloves
- If HYPOtensive: turn off anesthetic agents
- To restore intravascular volume: give NS or LR 10-30 mL/kg IV/IO rapidly
- To restore intravascular volume: give NS or LR mL (10-30 mL/kg) IV/IO rapidly
- To restore BP and ↓ mediator release: give epinephrine 1-10 MICROgrams/kg IV/IO
as needed, or 10 MICROgrams/kg IM q5-15 min as needed; may need infusion 0.02-1 MICROgrams/kg/min IV
- To restore BP and ↓ mediator release: give epinephrine MICROgrams (1-10 MICROgrams/kg) IV/IO
as needed, or MICROgrams (10 MICROgrams/kg) IM q5-15 min as needed; may need infusion 0.02-1 MICROgrams/kg/min IV
-
To ↓ histamine-mediated effects:
- Give diphenhydramine 1 mg/kg IV/IO (MAX 50 mg)
- Give diphenhydramine mg (1 mg/kg, MAX 50 mg) IV/IO
- Give famotidine 0.25 mg/kg IV (MAX 20 mg)
- Give famotidine mg (0.25 mg/kg, MAX 20 mg) IV
- To ↓ mediator release: give methylprednisolone 2 mg/kg IV/IO (MAX 100 mg)
- To ↓ mediator release: give methylprednisolone mg (2 mg/kg, MAX 100 mg) IV/IO
- For continued ↓ BP: give vasopressin 10 milliunits/kg IV
- For continued ↓ BP: give vasopressin milliunits (10 milliunits/kg) IV
- To ↓ bronchoconstriction: give albuterol 4-10 puffs, repeat as needed
- Send tryptase within 3 hours
- Consider DDx


In this post, I write about tips for getting into University of Waterloo’s Engineering programs. It also features insights from the Director of Waterloo Engineering Admissions and recently admitted students.
I’ve been lifting for 1.5 years now, and it’s become one of the best investments in my life. In this blog post, I’ll share the 9 most important lessons that I learned.
A recent study highlighted the brain drain problem for tech talent in Canada. In this post, I will explain the ‘Cali or bust’ movement and describe its effect on the tech brain drain. In addition, I will provide 8 recommendations to retain and attract top Canadian tech talent.
Golden Gate Bridge in San Francisco, California (PC: Paul Bardea)
After watching my first Broadway show in 2016, it’s become one of my favourite things in the world. In this post, I will share everything I know about Broadway, including tips on how to get cheap tickets.
I was recently motivated to kick off an initiative to collect new grad offer data for roles based in Canada. I posted this survey on Hackathon Hackers, Facebook groups, Reddit, LinkedIn, and other sources. To my delight, the survey received over 200 crowdsourced responses (60% which were software development roles). I went through all responses, carefully inspected the data, and then cleaned the data to provide a better reading and analysis experience.


Before Change
xtl = wing.transition_x_lower
// compute wetted area
try:
Swet = wing.areas.wetted
except:
Swet = 1. * (1.0+ 0.2*t_c_w) * S_exposed_w
wing.areas.wetted = Swet
// conditions
Mc = freestream.mach_number
Tc = freestream.temperature
re = freestream.reynolds_number
After Change
xtl = wing.transition_x_lower
// compute wetted area
if wing.has_key("areas"):
if wing.areas.has_key("wetted"):
Swet = wing.areas.wetted
else:
Swet = 1. * (1.0+ 0.2*t_c_w) * S_exposed_w
wing.areas.wetted = Swet
else:
Swet = 1. * (1.0+ 0.2*t_c_w) * S_exposed_w
wing.areas.wetted = Swet
// conditions
Mc = freestream.mach_number
Tc = freestream.temperature
re = freestream.reynolds_number


{% extends "base/__normal.html" %} {% block title %}{{ title }}{% endblock %} {% block content %}
This action will attempt to pair the next round. If you have ignored the warnings above it may fail. Be warned, and always backup if you are unsure.


| |
Drichan's First Screen Shot of OCD 0.1 release.
Running Asteroids Applet, SwingSet JNLP App, Sticky Notes, and Desktop Tiles.
The Desktop Components are created using the DCF Framework |
|
Drichan's Screen Shot of OCD 0.2 functionality.
The new Master Tile is shown with embedded TileSets and a stand alone TileSet
is docked on the Edge of the Screen. |
|
Drichan's Screen Shot of OCD 0.3. This shot shows
the Editor 0.1 Application running along with the Asteroids Applet. OCD 0.3 can
now be launched from a native Windows Application that sits in the System
Tray. |
|
Drichan's Screen Shot of POD 0.6. This shot shows
the main POD menu torn off, some sticky notes, the nasa JTrack applet, and the
FreeCell applet. |


Information About Us
- Company: Ranjan Steel Fabrication
- Name: Santosh Kumar Sharma
- Designation: Owner
- Project date: 03 March, 2003
- What's app: +91-8744-910-291
- Contact:+91-8744-910-291 , +91-9810-186-982
- Email<EMAIL_ADDRESS>- Website: www.ranjanfabrication.com
A Few Words From Founder of Company
Welcome To Ranjan Steel Fabrication :
Established In The Year March 2003, We Are, ranjan Steel Fabrication , Is One Of The Best Organization
Located In Dwarka, Delhi (New Delhi).
we Are An Individual Firm Leads In Manufactured And Works In Iron And Steel.
We Are Leads In Fabrication Of Iron Windows,
stainless Steel Grills, Stainless Steel Railing,
Iron Railing's, Iron Grill's, Stainless Steel Gate, Iron Gates Etc.in Addition,
We Also Provide Complete
Onsite Works And All Operational Works.
We Also Provide Our Best For Complete Interior Work Services, Interior Wooden Works, Wall Tiles & Plumbing & Bathroom Fixtures
Work Services, Electrical Works & Interiors Work,well Furnished Computer Table's & Chair's Making, Table's Making, Library &
Reception Tables Making, False Ceiling Works, Pop(plaster Of Paris) Ceiling Works, Exterior Paints & Renovation Works, Fabrication
Stair-case With Top Of Poly-carbonate Sheet Shade, Wooden Room Partition, Aluminium Room Partition, Wooden Paneling, Marble Flooring,
Wooden Flooring, Wooden Railings & Marbles Flooring, On-site Woodden Works, Civil Works Construction Works Such As Maintenance Works.
Our Company Is Fully Equipped To Manufacture A Quality Range Of Interior Decoration As Per The Customer Specific Requirements. We Have Group Of Professionals, Who Have Wide Experiences And Have Expert In The Concerned Field.
Under The Proper Guide Of Our Owner Mr. Santosh Kumar Sharma , We Have Become One Of The Most Preferred Choices Of Our
Customer/clients In The Competitive Areas. He Is The Guiding Force Behind All Our Goodness And With His Sharp Business Analytic:
Some Of The Salient Features Of Our Iron And Steel Works And Interior Decoration Services Are Mentioned Below:
1. Iconics Designs
2. Fault-less Finish
3. Corrosion & Rusting Proof
4. Able To Handle High Temperatures
5. Low Maintenance Cost
6. Easier In Installation
Application Areas :
We Are Offering Quality In All Fabrication Works Such As Grills And Gates , Fiber Shades That Are Heavily Used For Building
Purposes In Many Areas. Due To Their Unique Designs And Beautiful Patterns, These Are High-volume In Demand In :
The Following Application Areas:
1. Residential Houses.
2. Hotels & Restaurants.
3. Shopping Complex
4. Factories & Industries Areas.
5. Hospitals Premises.
6. Offices Areas.
7. Schools Premises.
Our Team :
Our Company Has Employed An Fully Experienced And Team Of High Professionals, Who Works Constantly In Serving
The Client's Special Demands By Offering Quality Based Works . The Team Members Include Engineers, Technicians And Researcher's,
Who Are Willing With The Technic And Proper Domain Knowledge And Offering Products Accordingly.
We Also Impart Them To Make Them Aware Of Latest Working Methodologies. Quality Assured : Our Entire Range's Of Iron And Steel Fbrication Based Quality, And We Enure Company Dedication Regarding Maintaining Them. With The Assistance Of A Quality Controllers Interior
Decoration Service. Each Iron And Steel Products That Is Used In The Manufacturing Or In Decoration Is Checked And Tested
Properly For Quality To Ensure That The Product Is Durable.
They Also Consider The Safety Measure And Factor And Perform Various Test To Ensure The Safety Of Our Clients.
We Carries Out All Our Works As Per The Following A Certain Way Of Doing Works To Apart , We Check Our Products On The Following Ways : Corrosion & Rusting Proof. High Temprature Proof. Construction. Durable Factor. Proper Finish.


Name
Nagira – Nagios RESTful API
Version 0.1.3
Description
Light-weight web services API for fetching status of Nagios application objects:
-
Objects file: hosts, services, contacts, (host|service|contact)groups, escalations, etc.
-
Status file: hoststatus, servicestatus, etc.
Source Code
Source code available from Github github.com/dmytro/nagira
Installation
See INSTALL
Usage
-
Run Sinatra application ./app.rb
-
Use HTTP client to get information:
See more in FEATURES
Documenation
YARD documentation included with project, run ./jardoc in project’s root. Generatied YARD docs are available at dmytro.github.com/nagira/doc
How and why?
Provide simple and consistent way for information exchange with Nagios
First goal is to provide read-only access to the objects/object states by parsing 2 status files in Nagios: status.dat and objects.cache, later add check result submission interface (as in NSCA) and Nagios configuration.
objects.cache file keeps information about Nagios configuration (lists of servers, services, groups etc), while status.dat file is file that stores information about current state of the objects (hosts and services) and Nagios process itself.
If necessary at a later stages this could be implemented using Nagios’ NEB inteface, but the disadvantage of the NEB API is that it could block Nagios process and introduce latencies in Nagios.
File parsing obviously takes resources for each single parse, however if application – Rails, Sinatra or similar – is able to keep state of the parser, is not a problem. IF application can keep track of file parse times and file modification time it is possible to parse file only if it was changed and infrequently enough.
Roadmap blueprint
When implemented API could provide foundation for development of well-defined, modular, distributed Nagios monitoring: distributed Nagios nodes communicating with each other, retrieving status and submitting check results, distributed, load-balanced, fault tolerant configuration.
Web GUI (IMHO weakest part of the Nagios) could be completely de-coupled from Nagios core and is not required to run on the Nagios core host.
First stage
Read-only (GET) routes to access lists of monitored objects and states of the objects.
There are examples of various Nagios interfaces: NDOUTILS, IdoUtils, MK_Livestatus. This is an attempt to do similar things using web services API.
Second stage
Replace NCSA passive checks submission mechanism with HTTP(S).
Later stages
Still not sure how to implement this (requires Nagios restarts/reloads) POST/PUT/DELETE interfaces for configuring Nagios.
This is still far away…
Author
Dmytro Kovalov<EMAIL_ADDRESS>2011, Dec, 26th - started
License
MIT, see LICENSE


In this category, we focus on the commonly-asked question: whether one should have an abortion or not. We also provide some crucial information and awareness before deciding on having abortion.
Hi Doctor, I’m Tracy. I want to keep the baby. Can you give me some advice?
Q:
Hi, I’m Katie. I’m 16 and pregnant, and I’m totally not ready for this. Should I abort?
A:
Before you decide, you need to know that abortion leaves psychological and physical consequences. Many women suffer from depression, repression of emotions, and have self-punishing behaviours. Also you can suffer from insomnia and nightmares. On the physical side, damage to uterus can cause back pain and abdominal cramps. In some cases, the fetus is not completely pulled out, which can cause incessant bleeding. And the worst case can be that you can not have children anymore. If you have thought through all your options (adoption, raising the baby) and none seem like the right choice for you, just make sure that you go to a good clinical practice to make sure you are safe during the procedure and get the best care possible.
Q:
But how should I tell my parents I am pregnant? They’re gonna get really mad.
A:
You should tell your parents about your condition as soon as possible. First you need to find the right time and place to tell them. You must be prepared to deal with whatever reaction they may have. Don’t interrupt them and yell back. Tell them nicely how you feel and how much you need their encouragement. If you are scared, you can go to a professional to get help. Remember, it is really hard to tell your parents, but they will find out anyway in the long term. It would be best if they can give you support from the start. If your parents are very unforgiving, remember that there are many clinics and health support groups out there that will help you every step of the way. If you and your girlfriend want to keep the baby, then you need to tell your parents that you have the ability to take responsibility.
Q:
Hi, It’s Mia. I just decided on getting an abortion, but I don’t know what I should do next.
A:
You need to go to an approved clinic for abortions. There are three types of abortion depending on fetal development. You can use an abortion pill, which is normally recommended if your baby is under 9 weeks old. Another way is called vacuum aspiration, which is recommended if your baby is between 9 and 12 weeks old. For baby who is more than 13 weeks, dilation and evacuation is required where the fetus is pulled out of the uterus.
Q:
Do I need my parents’ consent?
A:
You do if you are under 18.
Q:
Hi Doctor, I’m Tracy. I want to keep the baby. Can you give me some advice?
A:
Make sure you get good prenatal care to avoid having an unhealthy baby! You need to know that children born to teenage parents tend to be low weight due to lack of nutrition. Your body is not fully developed so your baby may face health complications such as bleeding in the brain, respiratory distress syndrome, and intestinal problems. Also, you need to think about how to give your baby a good life, both economically and emotionally.


Project information
- Project Type: Game Jam
- Start Date: 13th July, 2018
- Finish Date: 16th July, 2018
- Tools: Unity, C#,
Summary
Commute Crash is a ragdoll sandbox game developed for the Brains Eden Game Jam 2018 in a group of 5. You're late for work and so must find as many "excuses" as possible for your lateness; those being injuring yourself on as many objects in the city as possible, similarly to the Insurance Fruad mode in the Saints' Row series. This was the second game jam we had worked on and one of the first games I worked on in Unity. The theme of the game was "Unreliable" and we felt that an unreliable worker was a perfect protagonist for the player to take control of so we made our relative inexperience in development part of the joke. The player model resultingly gets increasingly distorted as they get more injured.
Want to play it? The itch.io page can be found here.
What did I do?
In this project I primarily worked in 3D software Maya to model some of the buildings.


South Park: Bigger, Longer and Uncut (1999)
A review by Nizam Ahmed
I recently had the chance to view a post-production VHS copy of the eagerly awaited South Park movie. The film is in the final stages of post-production: some frames of animation are not yet completed (they are replaced by a series of stills) and some of the dialogue track is to be redubbed. Otherwise, the film is pretty much ready for release - the story is clear and all the dialogue is present, voiced by all the correct actors.
[This paragraph contains spoilers]
So, how does it fare? It kicks off in style as Cartman and the gang sneak in to the brand new Terrence & Philip movie. This film-within-a-film ("Asses of Fire") is a hilarious excuse for offensive bad-language (not bleeped!) and vulgar toilet humour. It contains a brilliant musical number containing nothing but four-letter words, clearly a celebration of the new-found freedom SOUTH PARK's creators have found with an 18 certificate ('R' in the US). Naturally, the South Park kids are impressed, and are soon repeating the swearing at school. Soon, the news of the kids' foul mouths filters through to the teachers and the parents, who are up in arms. The film then turns into an unsubtle attack on a society of censorship, as the parents point the blame at Terrence & Philip themselves, putting them on trial, sentencing them to death, and declaring war on their homeland (Canada).
[Spoilers end]
So far, so good. There are some brilliant gags and one-liners (as you'd expect) and the relationship between Satan and Saddam Hussein is possibly the sickest thing I've ever seen - so the film must be doing something right.
Unfortunately, it seems that the natural length for SOUTH PARK is half an hour. The film simply can't sustain the cartoons simple one-note inanity for the full running time of the feature. All the best ideas are in the first half-hour, after which SOUTH PARK begins to slide into repetition and tedium. There is no denying the thrill of hearing the South Parkers swear for real, but basing an entire film on this premise suggests laziness. Certainly, its watchable and enjoyable enough (as any average episode of the TV show is), but you get the feeling that SOUTH PARK has possibly exhausted its format with this movie. There is very little left to explore, meaning the film has to resort to cliched fantasy and war sequences.
The most irritating aspect of SOUTH PARK THE MOVIE is undoubtedly the boring musical numbers. There are far too many of them, of which only one-or-two are remotely amusing. They exist only as filler, padding the story out to reach feature film length. Equally tedious is the sub-plot involving Kenny's death (yes, he dies - no spoilers there).
SOUTH PARK: BIGGER, LONGER AND UNCUT is a fan's film. It is good to see that the creators are not compromising their vision in an attempt to draw in a more mainstream audience: this is as acerbic and cruel as any TV episode. Unfortunately, as a fan's film, it follows the strict formula of 'more of the same'. There is nothing particularly special here to distinguish it from the TV show other than the swearing, some poor songs, and some snazzy animation sequences. Building it up as an 'event movie' is possibly a mistake: it would be more at home as a sell-through video release.
This film's potential under-achievement, combined with the TV show's dwindling audience figures in the States, could well spell the end of the SOUTH PARK franchise. This may be a blessing in disguise. Parker & Stone are undoubtedly talented people, and it may be time for them to move on to projects new: the clear parallel is with a similarly controverial cartoon, BEAVIS & BUTTHEAD, which ended with a major motion picture, to be replaced by the more emotionally rich and mature KING OF THE HILL.
So, in conclusion, SOUTH PARK THE MOVIE just about stands on its own merits, and all fans should certainly see it, not least because it may be the last you will ever see. It was fun while it lasted, but no more SOUTH PARK please.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Ox Standard Packages Reference
Chapter contents:
Arma package
The Arma package implements functions which are commonly
used in autoregressive-moving average models.
The Arma package requires the header file arma.h.
Note that the Arma package uses the convention of writing the AR and MA
coefficients on the right-hand side with a positive sign.
arma0
#include <arma.h>
arma0(const ma, const vp, const cp, const cq);
-
- ma
- in: T x n matrix A
- vp
- in: 1 x s matrix with AR coefficients \phi1,
\phi2, ..., \phip followed by
MA coefficients \theta1, \theta2, ..., \thetaq,
s >= p+q
- cp
- in: int, no of AR coefficients (could be 0)
- cq
- in: int, no of MA coefficients (could be 0)
- Return value
- Returns the residual from applying the ARMA(p,q) filter
to each column of A. The result has the same dimensions as ma.
The first p rows of the return value will be zero.
For example when p = 1 and q = 2:
- e0 = 0,
- e1 = a1 - \phi1 a0 - \theta1 e0,
- e2 = a2 - \phi1 a1 - \theta1 e1 - \theta 1 e0, etc.
- See also
-
armagen, armaforc,
armavar,
diff0,
diffpow,
pacf
armaforc
#include <arma.h>
armaforc(const mx, const vp, const cp, const cq);
armaforc(const mx, const vp, const cp, const cq,
const ma);
armaforc(const mx, const vp, const cp, const cq,
const ma, const me);
-
- mx
- in: H x n matrix X, fixed part of forecasts
- vp
- in: 1 x s matrix with AR coefficients \phi1,
\phi2, ..., \phip followed by
MA coefficients \theta1, \theta2, ..., \thetaq,
s >= p+q
- cp
- in: int, no of AR coefficients (could be 0)
- cq
- in: int, no of MA coefficients (could be 0)
- ma
- in: (optional argument) T x n matrix A,
pre-forecast data values (default is zero)
- me
- in: (optional argument) T x n matrix E,
pre-forecast residual values (default is zero)
- Return value
-
Returns the forecasts from an ARMA(p,q) model as
an H x n matrix. The same model is applied to each column
of mx.
For example when p = 2 and q = 2:
- ahat0 = x0 + \phi1 aT-1
+ \phi2 aT-2
+ \theta1 eT-1
+ \theta2 eT-2,
- ahat1 = x1 + \phi1 ahat0
+ \phi2 aT-1
+ \theta2 eT-1,
- ahat2 = x2 + \phi1 ahat1
+ \phi2 ahat0, etc.
- See also
- arma0, armavar,
cumulate,
modelforc
armagen
#include <arma.h>
armagen(const mx, const me, const vp, const cp, const cq);
-
- mx
- in: T x n matrix of known components X
- me
- in: T x n matrix of errors E
- vp
- in: 1 x s matrix with AR coefficients \phi1,
\phi2, ..., \phip followed by
MA coefficients \theta1, \theta2, ..., \thetaq,
s >= p+q
- cp
- in: int, no of AR coefficients (could be 0)
- cq
- in: int, no of MA coefficients (could be 0)
- Return value
-
Generates a an ARMA(p,q) series from
an error term (me) and a mean term (mx)
The result has the same dimensions as mx.
The first p
rows of the return value will be identical to those of mx; the
recursion will be applied from the pth term onward (missing
lagged errors are set to zero).
For example when p = 1 and q = 2:
- a0 = x0,
- a1 = x1 + \phi1 a0 +
e1 + \theta1 e0,
- a2 = x2 + \phi1 a1 +
e2 + \theta1 e1 + \theta2 e0, etc.
- See also
- arma0, armaforc, armavar,
cumsum, cumulate
armavar
#include <arma.h>
armavar(const vp, const cp, const cq, const dvar,
const ct);
-
- vp
- in: 1 x s matrix with AR coefficients \phi1,
\phi2, ..., \phip followed by
MA coefficients \theta1, \theta2, ..., \thetaq,
s >= p+q
- cp
- in: int, no of AR coefficients (could be 0)
- cq
- in: int, no of MA coefficients (could be 0)
- dvar
- in: double, variance of disturbance, \sigma2 \epsilon.
- ct
- in: int, number of autocovariance terms required, T
- Return value
- Returns a 1 x T matrix with the autocovariances of
the ARMA(p,q) process. Or 0 if the computations
failed (e.g. when all AR coefficients are zero).
- See also
- arma0, pacf
diffpow
#include <arma.h>
diffpow(const ma, const d);
-
- ma
- in: T x n matrix A
- d
- in: double, length of difference d, |d| <= 10000
- Return value
- Returns a T x n matrix with (1-L)dA.
The result has the same dimensions as ma.
- See also
- arma0, diff0
modelforc
#include <arma.h>
modelforc(const mU, const mData, const miDep,
const miSel, const miLag, const mPi, const iTmin);
-
- mU
- in: 0 or (T-T0) x n
matrix with error terms
- mData
- in: T x d matrix, the database
- miDep
- in: 1 x n matrix with database indices
of dependent variables
- miSel
- in: 1 x k matrix with database indices
of explanatory variables
- miLag
- in: 1 x k matrix with lag lengths
of explanatory variables
- miPi
- in: n x k matrix with coefficients
- iTmin
- in: int, first forecast observation (may be 0)
- Return value
-
Returns the dynamic forecasts from a linear dynamic model as a
(T-T0) x n matrix.
- See also
- armaforc
cumulate
pacf
#include <arma.h>
pacf(const macf);
pacf(const macf, const alogdet);
pacf(const macf, const alogdet, const my);
pacf(const macf, const meps);
-
- macf
- in: arithmetic type, T x 1 matrix of autocovariances
or autocorrelations
- alogdet
- in: (optional argument) address of variable
- out: the determinant of the filter
- my
- in: (optional argument) T x n data matrix
to apply filter to
- meps
- in: (optional argument) T x n data matrix
to apply inverse filter to
- Return value
-
- pacf(macf);
- pacf(macf, alogdet);
Returns a T x 1 matrix with the partial autocorrelation
function of the columns of macf.
- pacf(macf, alogdet, my);
Returns a T x (n+1) matrix with the residuals from the
filter based on the specified ACF applied to the columns of my.
The last column contains the standard devations of the filter.
- pacf(macf, meps);
Returns a T x n matrix with the generated data from the
inverse filter based on the specified ACF applied to the columns of meps.
-
Returns 0 if the computations
fail (the stochastic process has a root on the unit circle).
- See also
- acf, arma0,
armavar,
solvetoeplitz
Maximization package
Maximization control
CMaxControl Class
- CMaxControl(const iOptions=0);
- Constructor. Only possible option is CMaxControl::PARALLEL_SCORE.
- GetControl();
- returns { mxIter, iPrint, bCompact }.
- GetEps();
- returns { dEps1, dEps2 }.
- GetIterationCount();
- returns the iteration count.
- GetResult();
- returns the convergence code.
- SetControl(const mxIter, const iPrint=-1, const bCompact=-1);
- See MaxControl.
- SetEps(const dEps1, const dEps2=-1);
- See GetMaxControl.
- SetIterationCount(const cIter);
- Sets the iteration count.
- SetOptions(const iOptions);
- Only possible option is CMaxControl::PARALLEL_SCORE.
- SetResult(const iResult);
- Sets the convergence code.
The CMaxControl class manages the configurable maximization options
in a more convenient way. The added flexibility is
that parallel numerical scores can be used, and the number of iterations retrieved
upon convergence.
GetMaxControl,
GetMaxControlEps
#import <maximize>
GetMaxControl();
GetMaxControlEps();
- Return value
-
Return an array with three values and two values respectively.
GetMaxControl returns { mxIter, iPrint, bCompact }.
GetMaxControlEps returns { dEps1, dEps2 }.
- See also
- MaxControl, MaxControlEps
MaxConvergenceMsg
#import <maximize>
MaxConvergenceMsg(const iCode);
-
- iCode
- in: int, code returned by MaxBFGS or MaxSimplex
- Return value
- Returns the text corresponding to the convergence code listed under
the return values of MaxBFGS.
- See also
- MaxBFGS,
MaxNewton,
MaxSimplex,
MaxSQP,
MaxSQPF
MaxControl,
MaxControlEps
#import <maximize>
MaxControl(const mxIter, const iPrint);
MaxControl(const mxIter, const iPrint, const bCompact);
MaxControlEps(const dEps1, const dEps2);
-
- mxIter
- in: int, maximum number of iterations; default is 1000, use -1 to leave
the current value unchanged
- iPrint
- in: int, print results every iPrint'th iteration; default is 0, use
-1 to leave the current value unchanged
- bCompact
- in: int, if TRUE uses compact format for iteration results (optional argument)
- dEps1
- in: double, eps1, default is 1e-4, use ≤ 0 to leave the current value unchanged
- dEps2
- in: double, eps2, default is 5e-3, use ≤ 0 to leave the current value unchanged
- Return value
- No return value.
- See also
-
GetMaxControl,
GetMaxControlEps,
MaxNewton,
MaxSimplex,
MaxSQP,
MaxSQPF
Maximization functions
MaxBFGS
#import <maximize>
MaxBFGS(const func, const avP, const adFunc, const amInvHess, const fNumDer);
MaxBFGS(const func, const avP, const adFunc, const amInvHess, const fNumDer, const objMaxCtrl);
-
- func
- in: a function computing the function value, optionally with derivatives
- avP
- in: address of p x 1 matrix with starting values
- out: p x 1 matrix with final coefficients
- adFunc
- in: address
- out: double, final function value
- amInvHess
- in: 0 or address of p x p matrix,
initial (inverse negative) quasi-Hessian K;
a possible starting value is the identity matrix (which is used
when 0 is used as argument);
- out: if not 0 on input: final K (not reliable as estimate of actual Hessian)
- fNumDer
- in: 0: func provides analytical first derivatives
1: use numerical first derivatives
- objMaxCtrl
- in: CMaxControl object (optional argument)
- out: updated to reflect status and iteration count.
-
The supplied func
argument should have the following format:
func(const vP, const adFunc, const avScore, const amHessian);
-
- vP
- in: p x 1 matrix with coefficients
- adFunc
- in: address
- out: double, function value at vP
- avScore
- in: 0, or an address
- out: if !0 on input: p x 1 matrix with first derivatives
at vP
- amHessian
- in: always 0 for MaxBFGS, as it does not need the Hessian;
- returns
- 1: successful, 0: function evaluation failed
- Return value
- Returns the status of the iterative process:
- MAX_CONV
- Strong convergence Both convergence tests
were passed, using tolerance eps = eps1.
- MAX_WEAK_CONV
- Weak convergence (no improvement in line search) The step length
si has become too small. The convergence test
) was passed, using tolerance eps = eps2.
- MAX_MAXIT
- No convergence (maximum no of iterations reached)
- MAX_LINE_FAIL
- No convergence (no improvement in line search) The step length
si has become too small. The convergence test
was not passed, using tolerance eps = eps2.
- MAX_FUNC_FAIL
- No convergence (function evaluation failed)
- MAX_NOCONV
- No convergence Probably not yet attempted to maximize.
The chosen default values for the tolerances are:
eps1=1e-4, eps2=5e-3.
- See also
- MaxControl, CMaxControl,
MaxConvergenceMsg, Num1Derivative,
Num2Derivative
- Examples
-
See ox/samples/maximize/.
MaxNewton
#import <maximize>
MaxNewton(const func, const avP, const adFunc, const amHessian, const fNumDer);
MaxNewton(const func, const avP, const adFunc, const amHessian, const fNumDer, const objMaxCtrl);
-
- func
- in: a function computing the function value, optionally with derivatives
- avP
- in: address of p x 1 matrix with starting values
- out: p x 1 matrix with final coefficients
- adFunc
- in: address
- out: double, final function value
- amHessian
- in: 0 or address
- out: if not 0 on input: final Hessian matrix H
- fNumDer
- in: 0: func provides analytical second derivatives
1: use numerical second derivatives
- objMaxCtrl
- in: CMaxControl object (optional argument)
- out: updated to reflect status and iteration count.
-
The supplied func
argument should have the following format:
func(const vP, const adFunc, const avScore, const amHessian);
-
- vP
- in: p x 1 matrix with coefficients
- adFunc
- in: address
- out: double, function value at vP
- avScore
- in: 0, or an address
- out: if !0 on input: p x 1 matrix with first derivatives
at vP
- amHessian
- in: 0, or an address
- out: if !0 on input: p x p Hessian matrix
at vP
- returns
- 1: successful, 0: function evaluation failed
- Return value
See MaxBFGS.
- See also
- MaxBFGS, GetMaxControl,
CMaxControl,
MaxConvergenceMsg, Num1Derivative,
Num2Derivative
- Examples
-
See ox/samples/maximize/.
MaxSimplex
#import <maximize>
MaxSimplex(const func, const avP, const adFunc, vDelta);
MaxSimplex(const func, const avP, const adFunc, vDelta, const objMaxCtrl);
-
- func
- in: a function computing the function value
- avP
- in: address of p x 1 matrix with starting values
- out: p x 1 matrix with coefficients at convergence
- adFunc
- in: address
- out: double, function value at convergence
- vDelta
- in: 0, or a p x 1 matrix with the initial simplex
(if 0 is specified, the score is used for the initial simplex)
- objMaxCtrl
- in: CMaxControl object (optional argument)
- out: updated to reflect status and iteration count.
The supplied func argument should have the same format as in
MaxBFGS.
- Return value
- Returns the status of the iterative process, as documented under MaxBFGS.
MaxSQP,
MaxSQPF
#import <maxsqp>
MaxSQP(const func, const avP, const adFunc, const amHessian,
const fNumDer, const cfunc_gt0, const cfunc_eq0, vLo, vHi);
MaxSQP(const func, const avP, const adFunc, const amHessian,
const fNumDer, const cfunc_gt0, const cfunc_eq0, vLo, vHi,
const cfunc_gt0_jac, const cfunc_eq0_jac, ...);
MaxSQPF(const func, const avP, const adFunc, const amHessian,
const fNumDer, const cfunc_gt0, const cfunc_eq0, vLo, vHi);
MaxSQPF(const func, const avP, const adFunc, const amHessian,
const fNumDer, const cfunc_gt0, const cfunc_eq0, vLo, vHi,
const cfunc_gt0_jac, const cfunc_eq0_jac, ...);
-
- func
- in: a function computing the function value, optionally with derivatives
- avP
- in: address of p x 1 matrix with starting values
- out: p x 1 matrix with final coefficients
- adFunc
- in: address
- out: double, final function value
- amHessian
- in: 0 or address
- out: if not 0 on input: final Hessian approximation matrix B
- fNumDer
- in: 0: func provides analytical first derivatives
1: use numerical first derivatives
- vLo
- in: p x 1 matrix with lower bounds, or <> if
there are no lower bounds
- vHi
- in: p x 1 matrix with upper bounds, or <> if
there are no lower bounds
-
The supplied func argument should have the same format as in
MaxBFGS.
-
The cfunc_gt0 argument can be zero, or a function
evaluating the nonlinear constraints (which will be
constrained to be positive) with the following format:
cfunc_gt0(const avF, const vP);
-
- avF
- in: address
- out: m x 1 matrix with constraints at vP
- vP
- in: p x 1 matrix with coefficients
- returns
- 1: successful, 0: constraint evaluation failed
-
The cfunc_eq0 argument can be zero, or a function
evaluating the nonlinear constraints (which will be
constrained to zero) with the following format:
cfunc_eq0(const avF, const vP);
-
- avF
- in: address
- out: me x 1 matrix with equality constraints at vP
- vP
- in: p x 1 matrix with coefficients
- returns
- 1: successful, 0: constraint evaluation failed
-
The cfunc_gt0_jac and cfunc_eq0_jac
are optional functions that return the analytical Jacobian matrix
of the constraints. They have the same
format, returning in avF an m x p
and an me x p matrix
respectively.
- Return value
-
See MaxBFGS.
- Description
-
MaxSQP implements
a sequential quadratic programming technique to maximize
a non-linear function subject to non-linear constraints,
similar to Algorithm 18.7 in
Nocedal and Wright (1999, Numerical Optimization).
MaxSQPF enforces all iterates to be feasible, using
the Algorithm by Lawrence and Tits (2001, SIAM J. Optim.).
The current version does not support equality constraints.
If a starting point is infeasible, MaxSQPF will try to
minimize the squared constraint violations to find a feasible
point.
- See also
- MaxBFGS, GetMaxControl,
MaxConvergenceMsg, Num1Derivative,
Num2Derivative
- Examples
-
See ox/samples/maximize/.
Num1Derivative, Num1Derivative_parallel
Num2Derivative, Num2Derivative_parallel
#import <maximize>
Num1Derivative(const func, vP, const avScore);
Num1Derivative_parallel(const func, vP, const avScore);
Num2Derivative(const func, vP, const amHessian);
Num2Derivative_parallel(const func, vP, const amHessian);
-
- func
- in: a function computing the function value, optionally with derivatives
- vP
- in: p x 1 matrix with parameter values
- mHessian
- in: p x p matrix, initial Hessian
- avScore
- in: an address
- out: p x 1 matrix with 1st derivatives at vP
- amHessian
- in: an address
- out: p x p matrix with 2nd derivatives at vP
The supplied func argument should have the format as documented
under MaxBFGS.
- Return value
- Returns 1 if successful, 0 otherwise.
- See also
- MaxBFGS
- Examples
-
See ox/samples/maximize/numder.ox.
NumJacobian
#import <maximize>
NumJacobian(const func, vU, const amJacobian);
-
- func
- in: function mapping from restricted to unrestricted parameters
- vU
- in: of u x 1 matrix with parameters
- amJacobian
- in: address
- out: r x u Jacobian matrix corresponding to
mapping
-
The supplied func argument should have the following format:
func(const avR, const vU);
- avR
- in: address
- out: r x 1 matrix with restricted coefficients
- vU
- in: u x 1 matrix with unrestricted coefficients
- returns
- 1: successful, 0: function evaluation failed
- Return value
- Returns 1 if successful, 0 otherwise.
- See also
- Num1Derivative
- Examples
-
See ox/samples/maximize/jacobian.ox.
SolveNLE
#import <solvenle>
SolveNLE(const func, const avX);
SolveNLE(const func, const avX, iMode, funcJac, dEps1, dEps2,
mxIter, iPrint, mxItInner);
-
- func
- in: Ox function evaluating the nonlinear equations (see below)
- avX
- in: address of n x 1 matrix with starting values
- out: n x 1 matrix with final coefficients
- iMode
- in: int, mode of operation:
| -1 (default) | mode 1 if n < 80, else mode 3 |
| 0 | tensor-Newton method using analytical Jacobian |
| 1 | tensor-Newton method using numerical Jacobian |
| 2 | tensor method using Broyden's approximation to Jacobian |
| 3 | large scale problem (tensor-gmres-Newton method, avoiding nxn Jacobian matrix) |
- dEps1
- in: double, eps1, default is 1e-4, use ≤ 0 to leave the current value unchanged (can also be set with MaxControlEps)
- dEps2
- in: double, eps2, default is 5e-3, use ≤ 0 to leave the current value unchanged (can also be set with MaxControlEps)
- mxIter
- in: int, maximum number of iterations; default is 1000, use -1 to leave
the current value unchanged (can also be set with MaxControls)
- iPrint
- in: int, print results every iPrint'th iteration; default is 0, use
-1 to leave the current value unchanged (can also be set with MaxControls)
- mxItInner
- in: int, number of inner iterations for large scale problems, default is
max(50, 10 * log10(n))
-
The supplied func argument should have the following format:
func(const avF, const vX)
-
- avF
- in: address
- out: n x 1 matrix with nonlinear system f(x) evaluated at x
- vX
- in: n x 1 matrix with x values
- returns
- 1: successful, 0: function evaluation failed
-
When the analytical Jacobian is used, the funcJac argument should have the following format:
funcJac(const amJac, const vX)
-
- amJac
- in: address
- out: n x n matrix with Jacobian matrix evaluated at vX
- vX
- in: n x 1 matrix with X values
unrestricted coefficients returns
1: successful, 0: function evaluation failed
- returns
- 1: successful, 0: function evaluation failed
- Return value
- Returns the status of the iterative process:
- MAX_CONV
- Strong convergence norm(f(x)) < 0.001eps1.
- MAX_WEAK_CONV
- Weak convergence (no improvement in line search) The step length
has become too small and
norm(f(x)) < eps2.
- MAX_MAXIT
- No convergence (maximum no of iterations reached)
- MAX_LINE_FAIL
- No convergence (no improvement in line search) The step length
has become too small and weak convergence was not achieved.
- MAX_FUNC_FAIL
- No convergence (function evaluation failed)
- MAX_NOCONV
- No convergence Probably not yet attempted to solve the system.
- Description
- Solves a system f(x) of n nonlinear equations in n
unknowns.
- See also
-
MaxControls,
MaxControlsEps
- Examples
-
See ox/samples/maximize/solvenle1.ox and
ox/samples/maximize/solvenle2.ox.
SolveQP
#import <solveqp>
SolveQP(const mG, const vG, const mA, const vB, const mC,
const vD, const vLo, const vHi);
SolveQPE(const mG, const vG, const mC, const vD);
SolveQPS(const sFile, const iVerbose)
SolveQPS(const sFile, const iVerbose, const fnSolveQP)
-
- mG
- in: n x n symmetric matrix G with quadratic weights, or
n x 1 vector with diagonal of G
- vG
- in: n x 1 vector g with linear weights
- mA
- in: m x n matrix A with linear inequality constraints Ax>=b (may be empty)
- vB
- in: m x 1 vector b with right-hand side for linear inequality constraints (empty if A is empty)
- mC
- in: me x n matrix C with linear equality constraints cx=d (may be empty)
- vD
- in: me x 1 vector d with right-hand side for linear equality constraints (empty if C is empty)
- vLo
- in: n x 1 vector with lower bounds (may be empty)
- vHi
- in: n x 1 vector with upper bounds (may be empty)
- sFile
- in: string with .qps file name
- iVerbose
- in: int, 0 for no output, 1 for one line summary output, 2 to print all matrices and results.
- fnSolveQP
- in: (optional argument) QP solver with call syntax as SolveQP.
If absent SolveQP is used.
- Return value
- SolveQP returns an array with three elements:
- [0] integer return value:
0: success
1: infeasible constraints
2: maximum number of iterations reached
3: Choleski decomposition failed
- [1] n x 1 vector with solution x
- [2] m* x 1 vector with Lagrange multipliers,
m*=me+m+2n
in order: equality constraints, inequality constraints, lower bounds,
upper bounds.
- SolveQPE returns an array with three elements:
- [0] n x 1 vector with solution x
- [1] me x 1 vector with Lagrange multipliers
- [2] p x 1 vector with index of redundant constraint (p=0 if all constraints were used)
- SolveQPS returns an array with four elements: the first three
as SolveQP, the fourth is the value of the objective function
f(x).
- Description
- SolveQP solves the quadratic program
min f(x)=x'Gx/2 + x'g, subject to:
Ax >= b,
Cx = d,
xlo <= x <= xhi.
using an active set method. If G is not positive definite, a small
number is added to its diagonal.
SolveQPE solves an equality-constrained problem using a null-space method.
SolveQPS solves a QP problem that is stored in a .qps file.
- Examples
-
See samples/maximize/solveqp1.ox.
Probability package
densbeta,
densbinomial,
denscauchy,
densexp,
densextremevalue,
densgamma,
densgeometric,
densgh,
densgig,
denshypergeometric,
densinvgaussian,
denskernel,
denslogarithmic,
denslogistic,
denslogn,
densmises,
densnegbin,
denspareto,
denspoisson,
densweibull,
#include <oxprob.h>
densbeta(const ma, const a, const b);
densbinomial(const ma, const n, const p);
denscauchy(const ma);
densexp(const ma, const lambda);
densextremevalue(const ma, const alpha, const beta);
densgamma(const ma, const dr, const da);
densgeometric(const ma, const p);
densgh(const ma, const nu, const delta, const gamma, const beta);
densgig(const ma, const nu, const delta, const gamma);
denshypergeometric(const ma, const n, const k, const m);
densinvgaussian(const ma, const mu, const lambda);
denskernel(const ma, const itype);
denslogarithmic(const ma, const alpha);
denslogistic(const ma, const alpha, const beta);
denslogn(const ma);
densmises(const ma, const mu, const kappa);
densnegbin(const ma, const k, const p);
denspareto(const ma, const k, const a);
denspoisson(const ma, const mu);
densweibull(const ma, const a, const b);
-
- ma
- in: arithmetic type
- a,b
- in: arithmetic type, arguments for Beta distribution
- dr
- in: arithmetic type
- da
- in: arithmetic type
- alpha,beta
- in: arithmetic type, location and scale parameter
- mu
- in: arithmetic type, von Mises: mean direction; Poisson: mean
- kappa
- in: arithmetic type, dispersion parameter
- Return value
- Returns the requested density at ma (the returned densities
are between positive):
The return type is derived as follows:
- m x n matrix, when ma is an m
x n matrix, and the rest is scalar;
- m x n matrix, when ma is a scalar,
and the rest are m x n matrices;
- m x n matrix, when ma is an m
x n matrix, and the rest are m x n
matrices;
- double, when ma is scalar, and the rest is also scalar (int
for denst).
- See also
- prob...,
quan...,
tail...
probbeta,
probbinomial,
probbvn,
probcauchy,
probexp,
probextremevalue,
probgamma,
probgeometric,
probhypergeometric,
probinvgaussian,
problogarithmic,
problogistic,
problogn,
probmises,
probmvn,
probnegbin,
probpareto,
probpoisson,
probweibull,
#include <oxprob.h>
probbeta(const ma, const a, const b);
probbinomial(const ma, const n, const p);
probbvn(const da, const db, const drho);
probcauchy(const ma);
probexp(const ma, const lambda);
probextremevalue(const ma, const alpha, const beta);
probgamma(const ma, const dr, const da);
probgeometric(const ma, const p);
probhypergeometric(const ma, const n, const k, const m);
probinvgaussian(const ma, const mu, const lambda);
problogarithmic(const ma, const alpha);
problogistic(const ma, const alpha, const beta);
problogn(const ma);
probmises(const ma, const mu, const kappa);
probmvn(const mx, const msigma);
probnegbin(const ma, const k, const p);
probpareto(const ma, const k, const a);
probpoisson(const ma, const mu);
probweibull(const ma, const a, const b);
-
- ma
- in: arithmetic type
- a,b
- in: arithmetic type, arguments for Beta distribution
- dr, da
- in: arithmetic type
- idf
- in: int, degrees of freedom
- mu
- in: arithmetic type, von Mises: mean location (use M_PI for
symmetric between 0 and 2pi); Poisson: mean
- kappa
- in: arithmetic type, dispersion parameter
- alpha,beta
- in: arithmetic type, location and scale parameter
- da, db
- in: arithmetic type, upper limits of integration
- drho
- in: arithmetic type, correlation coefficient
- mx
- in: m x n matrix for n-variate normal, with m upper limits
- msigma
- in: n x n variance matrix
- Return value
- Returns the requested cumulative distribution functions at ma
(P[X≤= x]; the returned probabilities
are between zero and one):
- probbeta: probabilities from Beta(a,b) distribution,
- probbinomial: probabilities from Bin(n,p) distribution,
- probbvn: probabilities from the bivariate normal distribution,
- probcauchy: probabilities from the Cauchy distribution,
- probexp: probabilities from the exp(lambda) distribution with mean 1 / lambda,
- probextremevalue: probabilities from the Extreme Value (type I or Gumbel) distribution,
- probgamma: probabilities from the Gamma distribution,
- probgeometric: probabilities from the Geometric distribution,
- probhypergeometric: probabilities from the Hypergeometric distribution,
- probinvgaussian: probabilities from the Inverse Gaussian distribution,
- problogarithmic: probabilities from the Logarithmic distribution,
- problogistic: probabilities from the Logistic distribution,
- problogn: probabilities from the Lognormal distribution,
- probmises: probabilities from the VM(mu, kappa) distribution (von Mises),
- probmvn: probabilities from the multivariate normal distribution (currently up to trivariate),
- probnegbin: probabilities from the Negative Binomial distribution,
- probpareto: probabilities from the Pareto distribution,
- probpoisson: probabilities from the Poisson mu distribution,
- probweibull: probabilities from the Weibull distribution.
The functional forms are listed under the density functions.
The probabilities are accurate to about 10 digits.
The return type for probbeta, probgamma, probmises,
probpoisson is derived as follows:
- m x n matrix, when ma is an m
x n matrix, and the rest is scalar;
- m x n matrix, when ma is a scalar,
and the rest are m x n matrices;
- m x n matrix, when ma is an m
x n matrix, and the rest are m x n
matrices;
- double, when ma is scalar, and the rest is also scalar (int
for probt).
The return type for probbvn is a double if all arguments are
scalar, or an m x n matrix if one or more arguments
are an m x n matrix.
The return type for probmvn is a double if m=1,
or an m x 1 vector if m>1, where m
is the number of rows of the first argument.
Note that the von Mises distribution runs from 0 to 2pi, with mean direction
mu (i.e. what tends to be written as VM(0,k) is VM(pi,k) here).
- See also
-
bessel,
betafunc,
gammafunc,
dens...,
quan...,
tail...
quanbeta,
quanbinomial,
quancauchy,
quanexp,
quanextremevalue,
quangamma,
quangeometric,
quanhypergeometric,
quaninvgaussian,
quanlogarithmic,
quanlogistic,
quanlogn,
quanmises,
quannegbin,
quanpareto,
quanpoisson,
quanweibull,
#include <oxprob.h>
quanbeta(const ma, const a, const b);
quanbinomial(const ma, const n, const p);
quancauchy(const ma);
quanexp(const ma, const lambda);
quanextremevalue(const ma, const alpha, const beta);
quangamma(const ma, const dr, const da);
quangeometric(const ma, const p);
quanhypergeometric(const ma, const n, const k, const m);
quaninvgaussian(const ma, const mu, const lambda);
quanlogarithmic(const ma, const alpha);
quanlogistic(const ma, const alpha, const beta);
quanlogn(const mx);
quanmises(const mp, const mu, const kappa);
quannegbin(const ma, const k, const p);
quanpareto(const ma, const k, const a);
quanpoisson(const ma, const mu);
quanweibull(const ma, const a, const b);
-
- ma
- in: arithmetic type, probabilities: all values must be between 0 and 1
- a,b
- in: arithmetic type, arguments for Beta distribution
- dr, da
- in: arithmetic type
- alpha,beta
- in: arithmetic type, location and scale parameter
- idf
- in: int, degrees of freedom
- kappa
- in: arithmetic type, dispersion parameter
- Return value
- Returns the requested quantiles (inverse probability function; percentage
points) at ma:
- quanbeta: quantiles from Beta(a,b) distribution,
- quanbinomial: quantiles from Bin(n,p) distribution,
- quancauchy: quantiles from the Cauchy distribution,
- quanexp: quantiles from the exp(lambda) distribution with mean 1 / lambda,
- quanextremevalue: quantiles from the Extreme Value (type I or Gumbel) distribution,
- quangamma: quantiles from the Gamma distribution,
- quangeometric: quantiles from the Geometric distribution,
- quanhypergeometric: quantiles from the Hypergeometric distribution,
- quaninvgaussian: quantiles from the Inverse Gaussian distribution,
- quanlogarithmic: quantiles from the Logarithmic distribution,
- quanlogistic: quantiles from the Logistic distribution,
- quanlogn: quantiles from the Lognormal distribution,
- quanmises: quantiles from the VM(mu, kappa) distribution (von Mises),
- quannegbin: quantiles from the Negative Binomial distribution,
- quanpareto: quantiles from the Pareto distribution,
- quanpoisson: quantiles from the Poisson mu distribution,
- quanweibull: quantiles from the Weibull distribution.
The functional forms are listed under the density functions.
The quantiles are accurate to about 10 digits.
The return type is derived as follows:
- m x n matrix, when ma is an m
x n matrix, and the rest is scalar;
- m x n matrix, when ma is a scalar,
and the rest are m x n matrices;
- m x n matrix, when ma is an m
x n matrix, and the rest are m x n
matrices;
- double, when ma is scalar, and the rest is also scalar.
- See also
- dens...,
prob...,
tail...
ranbeta,
ranbinomial,
ranbrownianmotion,
rancauchy,
ranchi,
randirichlet,
ranexp,
ranextremevalue,
ranf,
rangamma,
rangeometric,
rangh,
rangig,
ranhypergeometric,
ranindex,
raninvgaussian,
ranlogarithmic,
ranlogistic,
ranlogn,
ranmises,
ranmultinomial,
rannegbin,
ranpareto,
ranpoisson,
ranpoissonprocess,
ranshuffle,
ranstable,
ransubsample,
rant,
ranuorder,
ranwishart,
ranweibull
#include <oxprob.h>
ranbeta(const r, const c, const a, const b);
ranbinomial(const r, const c, const n, const p);
ranbrownianmotion(const r, const times);
rancauchy(const r, const c);
ranchi(const r, const c, const df);
randirichlet(const r, const valpha);
ranexp(const r, const c, const lambda);
ranextremevalue(const r, const c, const alpha, const beta);
ranf(const r, const c, const df1, const df2);
rangamma(const r, const c, const dr, const da);
rangeometric(const r, const c, const p);
rangh(const r, const c, const nu, const delta, const gamma,
const beta);
ranhypergeometric(const r, const c, const n, const k, const m);
rangig(const r, const c, const nu, const delta, const gamma);
ranindex(const c);
ranindex(const c, const n);
raninvgaussian(const r, const c, const mu, const lambda);
ranlogarithmic(const r, const c, const alpha);
ranlogistic(const r, const c);
ranlogn(const r, const c);
ranmises(const r, const c, const kappa);
ranmultinomial(const n, const vp);
rannegbin(const r, const c, const n, const p);
ranpareto(const r, const c, const k, const a);
ranpoisson(const r, const c, const mu);
ranpoissonprocess(const r, const times, const mu);
ranshuffle(const c, const x);
ranstable(const r, const c, const alpha, const beta);
ransubsample(const c, const n);
rant(const r, const c, const df);
ranuorder(const c);
ranweibull(const r, const c, const a, const b);
ranwishart(const n, const p);
-
- r
- in: int, number of rows
- c
- in: int, number of columns
- a,b
- in: double or rxc matrix, arguments for Beta distribution
- n
- in: int, number of trials
- p
- in: double, probability of success (rangeometric also allows or rxc matrix)
- vp
- in: column or row vector with c probabilities of success (must sum to one)
- lambda
- in: double or rxc matrix
- df
- in: double or rxc matrix, degrees of freedom
- df1
- in: double or rxc matrix, degrees of freedom in the numerator
- df2
- in: double or rxc matrix, degrees of freedom in the denominator
- dr
- in: double or rxc matrix
- da
- in: double or rxc matrix
- mu
- in: double or rxc matrix, mean
- kappa
- in: double or rxc matrix, dispersion parameter (mean direction is pi)
- alpha
- in: double or rxc matrix
- beta
- in: double or rxc matrix
- nu
- in: double, parameter for GH and GIG distributions
- valpha
- in: vector with c+1 shape parameters for Dirichlet distribution
- times
- in: column or row vector with c time points (must be non-decreasing)
- x
- in: column or row vector to sample from
- Return value
- The following return a r by c matrix of random numbers from the
selected distribution:
- ranbeta : Beta(a,b) distribution,
- ranbinomial: Binomial(n,p) distribution,
- ranbrownianmotion : r realizations of the Brownian motion,
with time steps specified by the vector times,
- rancauchy: equals rant(r, c, 1),
- ranchi : chi2(df) distribution,
- randirichlet : Dirichlet(\alpha1,...,\alphac+1) distributed random numbers
(each row is a realization of the c-variate random variable),
- ranexp : exp(\lambda) distribution with mean 1 / \lambda,
- ranextremevalue : Extreme Value (type I or Gumbel) distribution
- ranf : F(df1, df2) distribution,
- rangamma : Gamma(r,a) distribution,
- rangeometric: Geometric distribution,
- rangh: GH(nu,delta,gamma,beta) distribution,
- rangig: GIG(nu,delta,gamma) distribution,
- ranhypergeometric: Hypergeometric distribution,
- raninvgaussian : Inverse Gaussian(mu,lambda) distribution,
- ranlogarithmic : logarithmic distribution,
- ranlogistic : logistic distribution,
- ranlogn : log normal distribution,
- ranmises: VM(pi, kappa) distribution (von Mises),
- rannegbin: Negative binomial(n,p) distribution,
- ranpareto: Pareto(k,a) distribution,
- ranpoisson : Poisson(mu) distribution,
- ranpoissonprocess : r realizations of the Poisson process,
with time steps specified by the vector times,
- ranstable : S(alpha,beta) distribution,
- rant : Student t(df) distribution, degrees of freedom need not be integer,
- ranweibull: Weibull distribution.
- ranwishart : Wishart(n, Ip) distributed random drawing, returns an p x p matrix.
The functional forms are listed under the density functions.
The matrix is filled by row. Note that, if both r
and c are 1, the return value is a scalar of type double!
The following return a 1 by c matrix of random numbers from the
selected distribution:
- ranindex(c): draws c numbers from 0,...,c-1 without replacement,
- ranindex(c,n): draws c numbers from 0,...,n-1 without replacement
(this is the same as ranshuffle(c, range(0,n-1))),
- ranmultinomial: Multinomial(n,p1,...,pc) distribution,
- ranshuffle: draws c elements from x without replacement,
- ransubsample: draws c numbers from the integers 0,...,n-1 without replacement,
returning the ordered numbers (the return value is sorted, so ransubsample(n,n) just returns 0,...,n-1),
- ranuorder: generates c uniform order statistics.
The von Mises is generated between 0 and 2pi, with mean direction pi,
corresponding to probmises(.,M_PI,kappa).
To use a different mean:
y = fmod(ranmises(r, c, kappa) + mu, M_2PI);
M_PI and M_2PI require oxfloat.h.
- See also
- rann,
ranseed,
ranu
QuadPack
QuadPack is a Fortran library for univariate numerical integration
(`quadrature') using adaptive rules. The main driver functions are exported to Ox
from a dynamic link library, using the header file
quadpack.h.
Full documentation is in Piessens et al. (1983),
QUADPACK, A Subroutine Package for Automatic Integration,
Springer-Verlag.
QAG,
QAGI,
QAGP,
QAGS,
QNG
#include <quadpack.h>
QNG (const func, const a, const b, const aresult,
const aabserr);
QAG (const func, const a, const b, const key,
const aresult, const aabserr);
QAGS(const func, const a, const b, const aresult,
const aabserr);
QAGP(const func, const a, const b, const vpoints,
const aresult, const aabserr);
QAGI(const func, const bound, const inf, const aresult,
const aabserr);
-
- func
- in: function to integrate;
func must be a function of one
argument (a double), returning a double
- a
- in: double, lower limit of integration
- b
- in: double, upper limit of integration
- key
- in: int, key for choice of local integration rule, which
determines the number of points in the Gauss-Kronrod
pair: 1 or less (7-15 points), 2 (10-21 points),
3 (15-31 points), 4 (20-41 points),
5 (25-51 points), 6 or more (30-61 points).
- vpoints
- in: row vector with singularities of integrand
- bound
- in: double, lower bound (inf == 1) or upper bound (inf == -1)
- inf
- in: int, 1: integral from b to infinity, -1: integral from minus infinity to b,
2: integral from minus infinity to infinity
- aresult
- in: address of variable
- out: double, approximation to the integral
- aabserr
- in: address of variable
- out: double, estimate of the modulus of the absolute error
- Return value
- Result of the QuadPack routine:
- 0: normal and reliable termination of routine;
- 1: maximum number of steps has been executed;
- 2: roundoff error prevents reaching the desired tolerance;
- 3: extremely bad integrand behaviour prevents reaching tolerance;
- 4: algorithm does not converge;
- 5: integral is probably convergent or slowly divergent;
- 6: invalid input;
- 10: not enough memory;
An error message greater than 0 is reported unless switched off with QPWARN.
- Description
-
QNG: simple non-adaptive automatic integrator for a smooth integrand.
-
QAG: simple globally adaptive Gauss-Kronrod-based integrator, with
choice of formulae.
-
QAGS: globally adaptive integrator with extrapolation, which can handle
integrand singularities of several types.
-
QAGP: as QAGS, but allows the user to specify singularities,
discontinuities and other difficulties of the integrand.
-
QAGI: as QAGS, but handles integration over infinite integrals.
QAWO,
QAWF,
QAWS,
QAWC
#include <quadpack.h>
QAWO(const func, const a, const b, const omega, const fcos,
const maxp1, const aresult, const aabserr);
QAWF(const func, const a, const omega, const fcos, const limlst,
const maxp1, const aresult, const aabserr);
QAWS(const func, const a, const b, const alpha, const beta,
const type, const aresult, const aabserr);
QAWC(const func, const a, const b, const c, const aresult,
const aabserr);
-
- func
- in: function to integrate;
func must be a function of one
argument (a double), returning a double
- a
- in: double, lower limit of integration
- b
- in: double, upper limit of integration
- omega
- in: double, factor in cosine or sine function
- fcos
- in: int, 1: function to integrate is cos(omega*x)*f(x), else
it is sin(omega*x)*f(x)
- maxp1
- in: int, upper bound on the number of Chebyshev
moments which can be stored.
- limlst
- in: int, upper bound on the number of cycles (must be >= 3).
- alpha,beta
- in: double, powers in w(x), both >-1.
- itype
- in: int, 1: v(x)=1; 2: v(x)=log(x-a); 3: v(x)=log(b-x); 4: v(x)=log(x-a)*log(b-x).
- c
- in: double, term for Cauchy principal value (!= a and != b).
- aresult
- in: address of variable
- out: double, approximation to the integral
- aabserr
- in: address of variable
- out: double, estimate of the modulus of the absolute error
- Return value
- Result of the QuadPack routine:
- 0: normal and reliable termination of routine;
- 1: maximum number of steps has been executed;
- 2: roundoff error prevents reaching the desired tolerance;
- 3: extremely bad integrand behaviour prevents reaching tolerance;
- 4: algorithm does not converge;
- 5: integral is probably convergent or slowly divergent;
- 6: invalid input;
- 10: not enough memory;
An error message greater than 0 is reported unless switched off with QPWARN.
- Description
-
QAWO: integrates cos(omega*x)*f(x)
or sin(omega*x)*f(x) over a finite interval (a,b).
-
QAWF: Fourier cosine or Fourier sine transform of f(x),
from a to infinity. (QAWF returns error 6 if
epsabs is zero, use QPEPS to change the value of epsabs.)
-
QAWS: integrates w(x)*f(x) over a finite interval (a,b),
where w(x) = [(x-a)^alpha]*[(b-x)^beta]*v(x), and
v(x) depends on the itype argument.
-
QAWC: Cauchy principal value of f(x)/(x-c)
over a finite interval (a,b) and for user-determined c.
QPEPS,
QPWARN
#include <quadpack.h>
QPEPS(const epsabs, const epsrel);
QPWARN(const ion);
-
- epsabs
- in: double, absolute accuracy requested (the default value is 0)
- epsrel
- in: double, relative accuracy requested (the default value is 1e-10)
- ion
- in: int, 1: print warning and error messages (the default), or 0: don't print
- No return
- Description
-
QPEPS: sets the accuracy for all QuadPack functions.
-
QPWARN: controls whether warning/error messages are printed or not.
Ox version 7.00.
©
JA Doornik
This file last changed .


Choppin' Wood
(An Adventure Game)
Choose your weapon
You grab the axe and step outside.
You grab the chainsaw and step outside.

Use the left arrow key to move
You've reached the tree
Are you wearing gloves?
Are you sure...?
Good choice...
You get a splinter which leads to infection and your death
There's a powerful looking gem embedded in the tree
The gem glows bright red and turns you to ash
You chop the gem in half and gain +1 strength
A gang of angry tree gnomes begin attacking
Your +1 strength attribute is too much for the puny tree gnomes, victory!
The gnomes temper is too short.
Congrats, now collect your tree and head home
Use the right arrow key to move
You died of exhaustion
Thanks for playing! Check back for updates!


Welcome to this personal mirror!
The mirrors are listed here.
To see how to use these mirror, you can follow this link.
And log files are here.
- sagemath:an Open Source Mathematics Software.
- CPAN:The Comprehensive Perl Archive Network.
- CTAN:The Comprehensive TeX Archive Network.
- tldp:The Linux Docomentation Project.
- hackage.haskell.org:packages for Haskell.
- vim:an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi'.
- pypi:Python Package Index(e.pypi.python.org).
- tlpretest:Testing TeX Live before release.
- macports:An open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11 or Aqua based open-source software on the Mac OS X operating system.
- irc-logs:A few part of the IRC logs, Haskell included. Start from 2013.
- rfc:rfc.
logs added by hand:
- 2013-05-08:sagemath updated to 5.9.
- 2013-05-10:
- Planning to mirror hackage.haskell.org with lftp.
- Very glad to see this mirror.
- 2013-05-11:hackage.haskell.org almost done with a version of 2013-05-09.
- 2013-05-12:It seems everything is up to date.
- 2013-05-13:total size:
- sagemath:23682794229,22.06G
- tldp:3724095836,3.47G
- CTAN:25512249930,23.76G
- CPAN:13777879640,12.83G
- apache:66473975826,61.91G
- hackage:almost 27G
- TOTAL:133170995461+27G,151.025G
- 2013-05-13:Adding vim...
- 2013-05-13:Added vim,5658322524,5.27G
- 2013-05-18:Deciding whether openwrt is able to added here.
- 2013-05-19:Droped openwrt.
- 2013-05-19:Pypi(8) and tlpretest(9) are unavailable.
- 2013-05-20:Tlpretest(9) done, very little files.
- 2013-05-20:USTC is not a welcomed mirror for me to rsync.
- 2013-05-20:Tlpretest(9) is not easy to rsync from ctex.org, deciding to remove.
- 2013-05-20:Pypi(8) is one the way...
- 2013-05-21:Pipy(8) finished.
- 2013-05-22:Rsync from last night, and everything works well.
- 2013-05-23:Everything finished before 5:00, and planning to re rsync pypi at 05:46.
- 2013-05-25:Adding log files for these mirrors, not yet test.
- 2013-05-26:Added logs and backup-logs for rsync mirrors.
- 2013-05-26:Modified a small mistake for log scripts.
- 2013-05-27:Computer crashed due to power failure, hackage almost rsynced, and start again at 10 am.
- 2013-05-27:Rsync suddenly came to a stop because a SB turned off the power, and it restarted at 23:00.
- 2013-05-29:Added cron schedules. All rsync jobs start at 22:00 every night, and at 08:00 next morning log them all. NOT tested yet.
- 2013-05-30:Cron jobs work fine now.
- 2013-05-30:Mirror size:
- apache:67074804954
- CPAN:14096836749
- CTAN:25421459645
- pypi:52416649333
- sagemath:23961492633
- tldp:3724095836
- tlpretest:5008530054
- 2013-05-31:Hackage, and tlpretest cannot connect to the server.
- 2013-06-03:Find a bug of haskell hackage mirror, hoping to fix it.
- 2013-06-05:Added redirection 302 rules for /etc/apache2/mods-available/alias.conf and the hackage mirror can be used now!
- 2013-06-13:It works fine after a long leave.
- 2013-06-20:Waiting for texlive update someday.
- 2013-06-21:Change CTAN rsync mirror from BJTU to TUNA because the later has updated to texlive 2013.
- 2013-06-22:CTAN is working.
- 2013-06-26:pypi did not rsync well.
- 2013-07-03:CPAN did not update for days because BJTU mirror is down. Other mirrors are working.
- 2013-07-03:rsyncing CPAN from xmu in Fujian.
- 2013-07-03:Done rsyncing CPAN at 14:24.
- 2013-07-07:Deciding to remove apache mirror due to disk space shortage.
- 2013-07-11:Say goodbye to apache mirror. Added macports mirror, unknown how to use the pachages. Adding PETSc mirror.
- 2013-07-19:Macports can be used with some confifuration. See here for details.
- 2013-07-28:Having macports packages removed.
- 2013-10-07:Added some irc logs.
- 2013-10-15:Added back hackage mirror!
Contact me at zhiwudazhanjiangshi AT gmail DOT com


The Arrival A Film Review By Michael Redman Copyright 1996 By Michael Redman
***(out of ****)
Starting off the summer's science fiction onslaught, Charlie Sheen stars in a quasi-intelligent fifties-retro alien invasion conspiracy. (How many oxymorons can you find in that sentence?)
Sheen is a nerdish radio astronomer in the SETI (Search For Extraterrestrial Intelligence) program and spends most of his time sitting around awaiting signals that would indicate sentient beings out there.
Sheen takes the tape to his superior (Ron Silver) who dismisses it, fires him and destroys the tape. The conspiracy begins and the plot thickens. When our hero's co-worker meets an untimely demise shortly after G-Men types confiscate all the data, it's certain that there's something going on and we don't know what it is.
In a surprise to no one, Sheen obsessively takes on the mystery. The investigation takes him to Mexico in some of the best and heavily textured scenes in the film. Here he runs into a scientist (Lindsay Crouse) also on a quest: hers, to find the cause of localized global warming.
This is not an effects film but they are good enough, if not spectacular.
The movie is an updated version of about a zillion B films from 35 years ago. Evil aliens invade to take over the earth. One man finds out and has to defeat them by himself. The ETs conspire to stop him. He discovers the one thing that will defeat them (germs, light, electricity or ...) Sheen's speech to the intruders at the finale is copied from every second-rate sf film of that time.
Oddly enough this is an asset, not a problem although the movie does have its defects. It seems to take forever for the story to come together. The science is a bit shaky. The most disappointing is that fascinating characters (Crouse, Sheen's girlfriend, his assistant, a street-wise black kid) show up only to disappear and then re-appear later for just a few minutes, never staying around long enough to fulfill their potential.
Good fun, enough action for the short-attention-spaners and plenty of story.
[This appeared in the 6/6/96 "Bloomington Voice", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>This week's film review at http://www.bvoice.com/ Film reviews archive at http://us.imdb.com/M/reviews_by?Michael%20Redman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Created by Paul Czarkowski / @pczarkowski
If you can't pronounce it, don't eat it.*
* logical fallacy, but not a terrible rule of thumb.
Combine 50g each of Flour and Water
with 3g Yeast in a small bowl.
Cover and leave it on the bench.
Green protip: cover with a shower cap
4-6 hours later.
Mix the Starter and 375g of water in a large bowl until it looks like milk
Metric protip: a gram of water is the same as a milliliter of water
Mix in 500g flour and 15g salt.
we’re not kneading here, just making sure there is no dry flour left
Cover the bowl and leave it at room temperature for 4 to 8 hours and then put in fridge.
It should have started rising, approx 150%.
tip: Whenever you are working with the dough, it is important to try to lose as little air as possible. Do not punch it down.
Lightly flour the bench and turn out your dough. Cut off a piece to use and put the rest back in the bowl and back into the fridge
You can use the final piece of dough as the starter for the next batch
Gently stretch the piece dough out into a squarish shape and then fold each edge into the middle
you can actually bake it unshaped and get a very rustic ciabatta
Turn the dough over and shape it into a ball
Tip: lots of good videos on shaping dough on youtube.
place shaped dough into oiled bowl seam side up and cover.
Crank oven to 500F
Tip: for better results leave for 1-2 hours before baking
When oven is screaming hot upend the bowl onto baking stone and run a knife quickly over the top to create a shallow cut
Tip: Pull shelf all the way out so you don't burn yourself.
Bake for 5 minutes, then turn the oven down to 450F and bake for another 20 minutes.
High initial temp helps kick off the oven rise and crust.
Remove from oven and allow to cool completely.
Bread continues to cook while cooling.
Eat it!
Tip: Pour high quality EVOO onto plate then drizzle with Balsamic. Dip bread in this.


The evacuee was unable to answer the security questions correctly.
If the evacuee also has an ESS File, go back to the search results page and try to access their ESS File.
Please start a new Evacuee Registration if you cannot access the evacuee's ESS File or Profile.


Weekly Meeting: 2014-05-27
27th May 2014: Mirage on ARM, Irmin and Xen Hackathon
Agenda
- Mirage on ARM
- OCaml-Conduit/Ctypes
- Vchan
- Irmin/Xenstore
- Xen Hackathon
- GSoC/OPW
Attendees: Amir Chaudhry (chair), Thomas Gazagnaire, Thomas Leonard, Anil Madhavapeddy, Mindy Preston and David Scott
Notes
Mirage on ARM
Managed to run mir-console on ARM! Sent patches to libm
to enable package
support and they’ve been merged so should be in next release. They were very
responsive to patches.
ThomasL is currently getting everything working with packages and scripts
and other stuff. when ready will send PR to Mirage. Not tried any device
drivers yet, just console. Anil is curious if block device works yet - it’s
straight-forward to debug in the post-mortem. mirage-net-xen
might be good
to try next. Thomas will have a look. Could get something working by the Xen
Hackathon (or at the Hackathon).
Conduit/Ctypes
Ctypes 0.3.0 was released, with stub generation, which unlocks a bunch of other work that was waiting on it. Anil did a quick release of ocaml-conduit last month and has spent time since then refactoring and improving interfaces. Hoping to get a new release out by the end of the week, which will then unlock a bunch of others e.g. the TLS work, cohttp and a number of others. Anil will update the list when things are settled.
vchan
The linking problem mentioned last time was fixed and Dave believes it’s all working and Jon can do more at the Hackathon.
Irmin/Xenstore
Note: Irminsule has been renamed to to Irmin and the repo moved into the Mirage GitHub organisation.
Update on Xenstore and Irmin (Anil wants to call it ‘Xirminstore’ - no-one else seems keen). Dave, wants to make it fault-tolerant. Will focus on making the interface better and get to a demo for the Xen Hackathon and using Irmin to keep all the logs for debugging.
ThomasG is working on improving the Irmin API so there are some changes coming (Dave has now been warned). A release due very soon and Thomas will be giving a talk on the 6th of June in France. Benjamin Farinier, who’s joined for the summer, is also making good progress.
Xen Hackathon
The Xen Developer Hackathon is taking place this week. The schedule is up and there are several topics of interest to us including Docker. You can see the full list on the Xen wiki page.
Anil, ThomasL, Dave and Jon are all registered to go with Nik Sultana on the wait list. There are others who we should talk to at the event including Joao and Filipe about ClickOS and Hwanju about PVH. Could possibly ask the organisers for a Unikernel table. Our aims for the hackathon should be:
- Get vchan working and Mirage ARM pinging
- Work on fault-tolerant Xenstore/Irmin
- Upstream miniOS patches/packages and discuss how best to do this
- Talk to people about PVH, ARM, suspend/resume and MAC.
Anil notes that we’re at risk of turning the hackathon into a chatathon.
GSoC/OPW
Anil wrote a blog post about this summer’s Mirage hackers, including those from GSoC and OPW. Intros have been made on the mailing list and they’re off to a flying start!
Mindy joined the call this week and she’s run through some tests of cohttp. Came up against a roadblock until there’s more differentiation of results between invalid requests and invalid pipes. Submitted an issue about this but is aware that there are releases coming soon. Instead she switched over to looking at more client side things. Anil suggested looking at the TCP stack as it’s only been tested for the common case and there are probably a lot of issues that could be surfaced. Can’t really use Travis for this as it needs a network, which you don’t get in a container. Mindy already has a working Xen box so this shouldn’t be an issue. You can also read Mindy’s recent post on throwing some fuzzy dice to see what she’s been up to.
AoB
Anil mentioned that it would be fun to get people who are running unikernels (e.g their websites) to automatically be listed on the Mirage site or get some kind of shiny badge for their own. This could be automatic once the TLS libs are usable as it can simply be part of the configuration. Amir laments that his unikernel site is languishing in a Git repo until he can deploy them to the Bytemark machines. Will put this on the agenda for the next call.
Next call will be 10th June and items can be added to the Agenda.


They can read your webmail. We can help.
|
|
Web-based mail, with all of its advantages, comes with a very serious privacy flaw -
all messages are stored in a single central location on the webmail operator's data canter.
This fact makes these data centers a natural interception point for various undesirable parties
and severely risks your privacy as a webmail user.
You can solve this problem and protect your privacy by using secret sharing:
Split each message into two shares and the shares through two different
webmail providers.
On this site you can encode your own private mail, decode a private
mail somebody else sent you, or have a fun time exploring and playing with secret sharing.
This is an open-source project - we'd love you to help us out!
Send me a private mail to get me started!
Get the Firefox Addon to add Spemail to your Gmail!
|
Nam dui erat, auctor a, dignissim quis, sollicitudin eu, felis. Pellentesque nisi urna, interdum eget, sagittis et, consequat vestibulum, lacus. Mauris porttitor ullamcorper augue.
Nam dui erat, auctor a, dignissim quis, sollicitudin eu, felis. Pellentesque nisi urna, interdum eget, sagittis et, consequat vestibulum, lacus. Mauris porttitor ullamcorper augue.
Nam dui erat, auctor a, dignissim quis, sollicitudin eu, felis. Pellentesque nisi urna, interdum eget, sagittis et, consequat vestibulum, lacus. Mauris porttitor ullamcorper augue.


Represents the controller of the MVC pattern; it's not allowed to get access to the data model directly, instead
use this package to do so. This package contains factories to create objects. Factories are always used when
object creation would take place in other layers. Instead the creation process is done in the package in which
the object resides and then it is passed on.


Kittyflipping... almost.
MDA. Cannabis & Methoxetamine
| DOSE: |
200 mg |
oral |
MDA |
(pill / tablet) |
| |
2 bowls |
smoked |
Cannabis |
(plant material) |
| |
50 mg |
sublingual |
Methoxetamine |
(powder / crystals) |
[Erowid Note: While it may be that the substance described below is MDA, Ecstasy tablets are notoriously impure or misrepresented, often containing chemicals other than those they are presumed to contain. This report is marked as an MDA report, but readers should be aware that this is more of a general Ecstasy report.]
I am a college student who recently has become rather accustomed to altering my consciousness for the purpose of psychonautics: psychedelics and dissocitives being my main focus. LSD, mushrooms, 2C-E, 2C-I, MDMA, MDA, ketamine, DXM, cannabis, synthetic cannabinoids, and various combinations of the above are all good friends. I am comfortable with my mind, and unafraid of bad experiences, should they occur—they are lessons, not nightmares.
On the night in question, I went to a rave, with the intention of taking MDMA and dancing the night away with some new friends, and having a typical (ahem, amazing) MDMA experience, as I have in the past. I was not successful.
In my pursuit of my friend Molly (MDMA in powdered form), I was offered Sass (MDA in powdered form), and decided “eh, good enough,” and bought four pills at “100 mg” each (upon tasting the material I found it to have that characteristic phenethylamine flavor plus an added sugary sweetness, leading me to believe it was not quite 100 mg). My friend and I both swallowed one, hoping for a good roll. After around 20 minutes I began to notice an increase in energy, but none of the unlimited endurance or the pure, unadulterated love I have come to expect from MDMA. Being disappointed, my friend and I redosed at around T+80 minutes, for a grand total of “200 mg” of MDA. There was euphoria (nothing special), some nice subtle visuals (mostly subtle close-eyed patterning), and some motivation to dance, but I felt that the experience was more suited to a more relaxed, talkative setting.
The MDA was not very stimulating to either of us. After a lot of dancing, a lot of fun, and the acquisition of 50 mg of methoxetamine, we left the rave, still in our just slightly altered states, yawning the whole way home. From there, we decided marijuana would make quite a nice addition to this experience. And, unsurprisingly, it was. A few bowls intensified everything we were feeling: giddiness, energy, peacefulness, and that nice body high, without adding any paranoia or any sense of wrongdoing that I tend to get from cannabinoids. It was about 4 in the morning, and it was extremely serene and beautiful outside. I returned home and lay in bed for a while, not wanting to go to sleep to lose this wonderful, subtle feeling (though, I was quite sure I could do it if I felt the need). I was somewhat disappointed with the lack of intensity from the roll.
Then an idea hit me.
I still had that MXE.
Now, I’ve candyflipped (LSD + MDMA) and hippyflipped (Mushrooms + MDMA) before, and had absolutely breathtaking experiences—stories for another time. This could be my own version of a kittyflip (Ketamine + MDMA). I was in a very relaxed, peaceful, curious place, and I always feel at ease in my room. I decided to take the plunge. What better time than now?
I put the contents of the capsule, 50 milligrams, under my tongue and sat in my bed and patiently waited for it to come on. The following is an excerpt from my journal of the experience, from the moment I took the MXE. (I took the first dose of MDA about 5 hours and 30 minutes before the MXE.)
T+0:09 – I have just become alert of something… something. Some nausea, more than I would like. Not a big deal.
T+0:14 – Definitely feeling the nausea. It’s not bad. In fact, nothing’s bad. Nothing at all. It’s getting harder to type. I can feel time slowing down. I feel good though. Music is perceptibly becoming
more and more amazing. My tongue has gone numb, with a ketamine-like anesthetic feeling.
T+0:21 – It sounds like I’m hearing all this music for the first time. It sounds different than ever before.
T+0:33 – Feeling about the same. I swallowed the saliva and residual powder.
T+0:37 – Definitely some level of OEVs. But it’s dark, so I can’t tell how much. Enough of the external universe.
T+0:43 – Noticeable CEVs have begun. It’s quite colorful, mostly greens and magentas. No solid shapes.
T+0:51 – Beginning to dissociate. FANTASTIC body high. I feel so cozy in my bed.
T+0:56 – This is really wonderful! I feel so happy, so comfortable, so peaceful. Good vibes abound. This is getting to be really quite something.
T+1:00 – It suddenly hit me harder. The peak. I’m loving this. A solid +++ to measure by Shulgin’s scale. This has some serious potential to change lives. I feel so incredibly good!
T+1:08 – This is AMAZINGLY EUPHORIC. I’m tripping pretty hard at this point. It’s haaard to type man. This is absolutely insane. There is a lot of warmth. I’m starting to feel very distant, similar to ketamine. But MUCH more intense than my limited experience with ketamine. K was never quite like this.
T+1:18 – Time is doing some extremely bizarre things right now. [I wish I remember what I meant by this.]
T+1:45 – I don’t feel like I’m going out of body. It’s strange, it’s more grounded than dissociatives normally are. That does make sense though, with the combination.
T+2:02 – I feel like the peak of the peak has passed. I’m still very high though. What a journey!
I went down from there until going to sleep with some difficulty at around T+4:00, still feeling very strange. It was a very interesting headspace. I felt I had quite a bit of control over the direction of my thoughts, though it was difficult to think coherently with the music playing. As mentioned above, there was a lot of euphoria. Probably the most I’ve ever had from anything, ever. The peak was extremely intense. The dissociation felt clean (like K, unlike DXM) and very comfortable. It felt rather natural, like K, with very smooth ups and downs. The visuals were beautiful and colorful, but often lacked solid form. The trip was more of an emotional journey, leading me to discover some wonderful places inside myself. I can’t legitimately go into explicit detail because I do not remember explicit details.
The next day, I felt very good. No molly crash. Yes MXE/MDA afterglow. Quite a lot. It consisted of residual euphoria, a sense of general wellbeing, and all around chillitude and good vibes. Talkitiveness was unchanged, but confidence was increased. It was extremely difficult to concentrate. Instead of doing homework, I preferred to think about how wonderful life is and how great all the people in it are.
I can’t wait to experience methoxetamine by itself. This mixture kept me too grounded; I want to see how deep this goes. It seems like a worthwhile material. Caution is advised though, I can easily see this being habit-forming. And everything I've read about MXE suggests the same thing. Tread lightly, my friends.
Needless to say, my initial disappointment with the molly was wholly and entirely dissolved.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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public class ParQ
extends java.lang.Object
| Constructor and Description |
|---|
ParQ(boolean q1ans,
boolean q2Ans,
boolean q3Ans,
boolean q4Ans,
boolean q5Ans,
boolean q6Ans,
java.lang.String q7Ans)
Constructor for the ParQ class.
|
| Modifier and Type | Method and Description |
|---|---|
void |
addRow(boolean viewInfo,
java.lang.String DBindex)
Adds a row to the database class.
|
java.lang.String |
toHTML()
Creates an html table representation of the ParQ object
|
java.lang.String |
toPDF()
Method to generate a string representation of the ParQ for use in generating a pdf report on the athlete.
|
public ParQ(boolean q1ans, boolean q2Ans, boolean q3Ans, boolean q4Ans, boolean q5Ans, boolean q6Ans, java.lang.String q7Ans)
q1ans
- Boolean value for the answer to the first question of the ParQ Medical Surveyq2Ans
- Boolean value for the answer to the second question of the ParQ Medical Surveyq3Ans
- Boolean value for the answer to the third question of the ParQ Medical Surveyq4Ans
- Boolean value for the answer to the fourth question of the ParQ Medical Surveyq5Ans
- Boolean value for the answer to the fifth question of the ParQ Medical Surveyq6Ans
- Boolean value for the answer to the sixth question of the ParQ Medical Surveyq7Ans
- String of reasons why the athlete should not do physical activitypublic void addRow(boolean viewInfo, java.lang.String DBindex)
viewInfo
- Boolean value for if you should insert the data into the database (false), or if
you should update the athlete in the database (true)DBindex
- Index of the athlete in the database. The Athlete's ID. Used when updating the athlete
in teh database (when the viewInfo param holds value of true)public java.lang.String toHTML()
public java.lang.String toPDF()


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@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import views.html.partials._ @import views.partials.ServiceParameter.extractServiceParameter @this() @(problemReportForm : Form[model.ProblemReport], actionUrl: String, csrfToken: Option[String], service : Option[String], referrer : Option[String])(implicit request : Request[_], lang : Lang, messages : Messages)
@messages("problem_report.paragraph.1")
@messages("problem_report.paragraph.2")


Everything that happened at Microsoft's X019 event
How'd you like it?
by Brett MakedonskiMicrosoft just capped off its X019, the annual celebration of everything Xbox. Well, technically only the news reveal portion has wrapped. The rest of X019 is a fan event that runs through the weekend.
Xbox used its 90 minutes mostly as an amplification of everything we already knew it was doing. Xbox Game Pass got 50 new games. Project xCloud got 53 new games (and they're free for anyone who's in the public beta). Halo: Reach is finally releasing as part of the Master Chief Collection early in December.
But, we also got a first glimpse at a good number of new games. We were given a very early look at Rare's new project, Everwild. We saw that Obsidian's followup to The Outer Worlds is a survival RPG. We learned that Dontnod's next game tackles its toughest subject matter yet.
It felt like a Microsoft event through and through, for better and for worse. Semi-surprisingly, Xbox didn't take to the stage to announce it had acquired any new studios -- something that has happened a decent amount as of late. But, Phil Spencer did make a point to say that new game reveals are going to be a staple of Xbox showcases from now on. True to his word, we got some of those this afternoon.
Here's a recap of the most important stories to come out of Xbox's X019 show:
- Rare hopes to create a 'natural and magical world' in Everwild
- Following the fantastic Outer Worlds, Obsidian's next game is Grounded
- The next Sea of Thieves update will let you firebomb your foes
- Ninja Theory's Bleeding Edge wants a piece of the March 2020 pie
- Tell Me Why is Dontnod's next project, a game about identical twins and transgender identity
- Project xCloud is branching out to Windows PC next year
- Planet Coaster is heading to Xbox One and PS4
- Halo: Reach hits the Master Chief Collection really soon
- These 53 Xbox One games are free to stream in the Project xCloud beta
- Microsoft Flight Simulator looks scary good
- Age of Empires IV had its gameplay debut at X019
- These are Microsoft's Black Friday 2019 deals for Xbox One
- Xbox Game pass is bringing 50 new games to the service, including 10 Final Fantasy titles
- Minecraft Earth is still chasing those deep Pokemon Go wallets, celebrates early access with pop-up events
- Wasteland 3 is unthawing in May 2020


--- layout: post title: draft sketch date: '2014-06-02T07:30:24+02:00' categories: - Sketches picture_url: https://film-Storyboards.tumblr.com/post/87590441218/draft-sketch ---


THE FEAST OF JULY A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 7.9
United Kingdom, 1995 U.S. Availability: 10/20/95 (limited) Running Length: 1:58 MPAA Classification: R (Sexual situations, violence) Theatrical Aspect Ratio: 2.35:1
Cast: Embeth Davidz, Tom Bell, Gemma Jones, Ben Chaplin, James Purefoy, Kenneth Anderson, Greg Wise Director: Christopher Menaul Producers: Henry Herbert and Christopher Neame Screenplay: Christopher Neame based on the novel by H. E. Bates Cinematography: Peter Sova Music: Zbigniew Preisner U.S. Distributor: Touchstone Pictures
FEAST OF JULY, which arrives under the Merchant/Ivory umbrella (Ismail Merchant having served as executive producer), is much like a big screen version of a double-length MASTERPIECE THEATER episode. By turns tragic and beautiful, but always atmospheric, this adaptation H.E. Bates' novel focuses on the dark side of love and the grotesque capacity for violence hidden deep within the meekest human being.
The film opens with a pregnant young woman, Bella Ford (Embeth Davidz), struggling across the windswept countryside of late Victorian England. Unmarried and alone, she is undergoing a 30-mile journey to find the father of her unborn child. By the time she reaches the town where he claims to live (but in fact doesn't), she has miscarried. Exhausted and weak, she is taken in by a kindly local family, and soon becomes a member of the household. The sons--Con (Ben Chaplin), Jedd (James Purefoy), and Matty (Kenneth Anderson)--vie with each other for her attention, and, on one occasion, this sibling rivalry turns violent. For her part, Bella is attracted to all three, although one eventually rises above the others in her estimation. But he must compete with Bella's memories of her lost love, a scoundrel who suddenly re-appears.
There's no doubt that FEAST OF JULY is, at heart, a tragic melodrama. But, at least in its appraisal of human nature, it aspires to something greater. Despite the trappings of civilization, man is still an animal, and even the gentlest of people can be driven by uncontrollable passions to do terrible things. Reason has never been able to master love, and FEAST OF JULY illustrates the devastating results of one moment's irrational blindness. For, in this sort of fiction, if not always in real life, crime has consequences.
While Embeth Davidz doesn't give the same degree of wrenching performance she delivered as Helen Hirsch in SCHINDLER'S LIST, she is nevertheless effective as the figure at the focus of FEAST OF JULY's events. Like Patricia Arquette in ETHAN FROME, Davidz doesn't initially seem right for the part, but it doesn't take much screen time for her to change the viewer's opinion. In her understated portrayal, we see an eloquent expression of desperation.
As is almost always the case in British productions, the sense of atmosphere is masterful. Director Christopher Menaul (PRIME SUSPECT) has used all the tools at his disposal, including rich cinematography by Peter Sova and a haunting score by longtime Kieslowski collaborator Zbigniew Preisner, to craft a realistic portrait of a private tragedy. Even though the circumstances are outdated, the emotional core of FEAST OF JULY is timeless.
Joy is a scarce commodity in this film, and there's little opportunity for comic relief to lighten the tension. FEAST OF JULY is not for those seeking an uplifting motion picture experience. As accomplished as Menaul's technique is, the film is a real downer--tissues are a recommended accessory. The main dish served up at this particular FEAST is raw emotion.
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Compilation Guidelines¶
Basic Invariant¶
Karta’s main compilation assumption is that the source compilation can’t modify (inline / split to parts) a function if the wanted binary hadn’t done the exact modification to this function. This means that:
- A function can be modified (inlined) in the binary even if we didn’t inline it in our “source” compilation
- If a function was modified in our “source” compilation, it must be modified in the same way in our wanted binary
Since we want to maintain this basic invariant, we usually want to compile our open source library with flags for:
- No inlining
- No compiler optimizations
Windows Compilation¶
It seems that when compiling a binary using nmake
or visual studio
, the Window’s compilation adds some linker optimizations. As we couldn’t imitate these linker optimizations when compiling with gcc
, Karta can (and should) support 2 different configurations for the same version of a specific library:
- Basic (unix) configuration - Used for Linux, Mac, of various firmware files
- Windows configuration
Bitness - 32 vs 64¶
After various testing rounds, it seems that a configuration for 32 bits can also achieve great matching results for 64 bit binaries. Therefor there is no need to maintain two different configurations files, one for each bitness mode. When compiling a configuration file, the rule of thumb should be:
- Basic (unix) based configurations should be compiled for 32 bits (-m32) - firmware binaries are usually 32 bits
- Windows configurations should be compiled for 64 bits
Updating the compilation notes¶
After a successful compilation was made, a new “compilation tips” file should be created and stored under the compilations
folder. The file’s name should be <library name>.txt
and it should have a similar structure as the already existing files.
Adding a python identifier for your library¶
As most of the open source projects have unique string identifiers that hold their exact version, all of the currently supported fingerprinting plugins are based on a basic string search.
searchLib(): Scans all of the strings in the binary (using the self._all_strings
singleton), in search for a key string (holding the version) or a unique library string that is stored locally near a clear version string.
identifyVersions(): Will be called only after searchLib
had identified the existence of the library in the binary. This function is responsible for parsing the exact library version, usually using the self._version_string
that was found by searchLib
.


The signs in the drop-down are values of TrafficSign, an enumeration type, sorted by their compare method.
On selection, the traffic sign will appear in the correct area below, depending on the type of traffic sign.
Duplicates are not allowed, so selecting an already selected traffic sign will not result in adding the sign to an area below.
Clicking on a traffic sign in the area below will remove that symbol again.


Car new of bangladesh. new brand of machine a ball of thumb future of technology banking sector is growing with technology web programming is a great


{% include apple.html %} {% include facebook.html %} {% include opengraph.html %} {% include twitter.html %} {% include windows.html %}


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