UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to create a virtual machine scale set using the UKCloud Azure Stack Hub portal
Overview
Virtual machine scale sets (VMSS) in Azure Stack Hub are a compute resource that you can use to deploy and manage identical VMs. All virtual machine instances in a scale set are configured in the same way and do not require any provisioning beforehand.
Prerequisites
To complete the steps in this article, you must have appropriate access to a subscription in the Azure Stack Hub portal.
Creating a new virtual machine scale set
Log in to the Azure Stack Hub portal.
For more detailed instructions, see the Getting Started Guide for UKCloud for Microsoft Azure.
In the favourites panel, select Create a resource.
In the New blade, search for 'Virtual machine scale set' and then select it from the search results.
In the Virtual machine scale set blade select Create.
On the Create virtual machine scale set blade, enter the following information:
Virtual machine scale set name - The name of the virtual machine scale set.
Operating system disk image – The operating system disk image for the virtual machines in the scale set.
Subscription - This is your UKCloud for Microsoft Azure subscription.
Resource group - Select an existing resource group, or create a new one by typing a name for your new resource group.
Location - This will be frn00006, which is the Azure Stack Hub region.
Username – Admin username for the virtual machines.
Password – Admin password for the virtual machines.
Instance count – The number of virtual machines in the scale set (0 - 100).
Instance size – The size of each virtual machine in the scale set.
Use managed disks – Managed disks is a feature that simplifies disk management for Azure IaaS virtual machines by handling storage account management for you. For more information, see Managed Disks overview.
Choose load balancing options - Select between Load balancer or None. If None is selected, then the Public IP address name and Domain name label fields will be hidden.
Public IP address name – The name of the public IP address for the load balancer in front of the scale sets.
Public IP allocation method – Select between Dynamic or Static IP addresses.
Domain name label – Domain name label for the load balancer in front of the scale set.
Virtual network – This is the virtual network you would like the scale set to be connected to.
Subnet – This is a subnet within the selected virtual network.
NIC network security group - The network security group contains security rules that allow or deny inbound network traffic to, or outbound network traffic from, the virtual machines in the scale set.
Public inbound ports - Allow traffic on a subset of common inbound ports.
When you are done, click Create.
You can monitor the progress of your scale set's deployment by clicking the Notifications icon.
When the deployment is finished, the notification will change to Deployment succeeded.
After the scale set has deployed, you can view it by clicking All Services in the favourites panel, then select Virtual machine scale sets from the compute section.
Select your scale set from the list.
In the blade for your scale set, you can view and monitor the scale set, change its settings and perform diagnostics and troubleshooting.
Modifying the instance count of your scale set
Note
Auto-scaling is currently unsupported on Azure Stack Hub.
In the blade for the scale set, select Scaling under Settings.
Increase or decrease the number of instances using the slide bar, then click Save to commit the change.
A prompt will notify you once the configuration has been updated.
In the blade for the scale set, select Instances under Settings.
Depending on how you modified the instance count, there will either be new instances in the Creating state, or existing ones in the Deleting state.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


--- layout: default title: About authRequired: false ---
Stevenson is a micro-CMS leveraging GitHub for storing the website content and the Jekyll templating engine for templating and site configuration.
GitHub can manage the publishing and hosting of your content, Stevenson handles the editing.
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news and written
's is the
what's what a biohacker is
's has a modified
important than other body. parts of the body
is important than supersedes other body. bodily functions
toughts thoughts
pioner pioneer
his self experiments has self-experiments have
gone wrong awry
[vocabulary]
be being able
change modify genes
get getting a genetic
they're there are risks
Lee want wants to see
biologicaly biologically


C Library Functions - ARGUMENTS (3)
NAME
ARGUMENTS(3f) - [ARGUMENTS::INTRO] collection of command line argument parsers
CONTENTS
Synopsis
Description
M_kracken
SYNOPSIS

SPECIAL-PURPOSE PUBLIC ROUTINES:

use M_kracken
use M_kracken, only : kracken
use M_kracken, only : rget,dget,iget,lget,sget,retrev
use M_krackens, only : rgets,dgets,igets,lgets,sgets
use M_kracken, only : print_kracken_dictionary
use M_kracken, only : cmd_args_to_dictionary, unnamed
use M_getopt
use M_getopt_long
DESCRIPTION
The following command line argument parser modules are available:
|
|
o
|
M_kracken parse command line options of Fortran programs using Unix-like syntax
(LICENSE:PD)
|
|
o
|
M_getopt parse command line arguments. Similar to those in standard C library.
(LICENSE:GPL)
|
|
o
|
M_getopt_long parse command line options like Sun getopt_long, including the Sun CLIP specification
(LICENSE:PD)
|
|
o
|
M_args parse commands using NAMELIST format or Unix-like syntax and produce a NAMELIST string
to allow argument parsing without having to convert strings to various variable types
(LICENSE:PD)
|
|
M_KRACKEN
M_kracken(3f) is a module to parse command line options of Fortran programs using Unix-like syntax.
The main differences in syntax are that negative values and multi-word values rarely need quotes
around them, and that the "unnamed" parameter is first on the command line. It contains:
BASE ROUTINES
|
kracken |
| |
- crack command line options on Fortran programs, using "-KEYWORD VALUE" syntax
|
|
retrev |
| |
- get keyword value as a string from a commands argument list
|
|
CONVENIENCE ROUTINES FOR FETCHING VALUES
|
dget |
| |
- given keyword fetch doubleprecision value from command argument
|
|
iget |
| |
- given keyword fetch integer value from command argument
|
|
lget |
| |
- given keyword fetch logical value from command arguments
|
|
rget |
| |
- given keyword fetch real value from command argument
|
|
sget |
| |
- given keyword fetch string value and length from command arguments
|
|
dgets |
| |
- given keyword fetch doubleprecision array from command arguments
|
|
igets |
| |
- given keyword fetch integer array from command arguments
|
|
lgets |
| |
- given keyword fetch logical array from command argument
|
|
rgets |
| |
- given keyword fetch real array from command arguments
|
|
sgets |
| |
- given keyword fetch string value parsed on whitespace into an array
|
|
AUXILIARY COMMAND FOR SETTING PROMPTS
|
setprompts |
| |
- set explicit prompts for keywords in interactive mode
|
|
AUXILIARY COMMANDS FOR USE IN BUILDING CLI
(CLI) Command Line Interface routines can be used to read shell-like input and
configuration files
|
|
dissect |
| |
- convenient call to parse() - define defaults, then process
|
|
parse |
| |
- parse user command and store tokens into Language Dictionary
|
|
show |
| |
- dump dictionary entries
|
|
store |
| |
- replace dictionary names value (if allow=add add name if necessary)
|
|
| Nemo Release 3.1 | ARGUMENTS (3) | July 22, 2023 |
Generated by manServer 1.08 from 9d809167-845d-452f-88d6-7a8f82f4310d using man macros.


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Consistent User Experience
Our users expect that our applications will look and feel consistent with one another. By leveraging Cashmere components you’re ensuring the best possible UX for our users.
Maximum Efficiency
Developers are always being crunched for time, and Cashmere is here to help. Keep the focus of sprints on the functionality that makes your app unique rather than rebuilding components that you can easily pull from our library.
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Class UIMicroProfiler
Utility component that captures execution statistics and plot a simplified graph and update fields with stats.
Inheritance
Implements
Inherited Members
Namespace: UnityExt.Core
Assembly: UnityExt.Core.dll
Syntax
public class UIMicroProfiler : ActivityBehaviour, IUpdateable
Fields
| Improve this Doc View SourceautoPlot
Flag that tells this profiler will automatically plot the sample.
Declaration
public bool autoPlot
Field Value
| Type | Description |
|---|---|
| System.Boolean |
field
Reference to the text field where information will be written.
Declaration
public Text field
Field Value
| Type | Description |
|---|---|
| UnityEngine.UI.Text |
graphBackgroundColor
Background color when the graph is clean.
Declaration
public Color graphBackgroundColor
Field Value
| Type | Description |
|---|---|
| UnityEngine.Color |
graphCursorColor
Color of the plot cursor.
Declaration
public Color graphCursorColor
Field Value
| Type | Description |
|---|---|
| UnityEngine.Color |
maxSample
Sample max value mapped to the highest ramp value.
Declaration
public int maxSample
Field Value
| Type | Description |
|---|---|
| System.Int32 |
minSample
Sample min value mapped to the lowest ramp value.
Declaration
public int minSample
Field Value
| Type | Description |
|---|---|
| System.Int32 |
sampleRate
Number of frames the profiler will request samples.
Declaration
public int sampleRate
Field Value
| Type | Description |
|---|---|
| System.Int32 |
writeField
Flag that tells the profiler will write the latest info in the field.
Declaration
public bool writeField
Field Value
| Type | Description |
|---|---|
| System.Boolean |
Properties
| Improve this Doc View SourceDefaultRamp
Creates and caches a basic color ramp texture to feedback execution quality
Declaration
public static Texture2D DefaultRamp { get; }
Property Value
| Type | Description |
|---|---|
| UnityEngine.Texture2D |
fieldText
Current field text.
Declaration
public string fieldText { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
graph
Reference to the graph.
Declaration
public RawImage graph { get; }
Property Value
| Type | Description |
|---|---|
| UnityEngine.UI.RawImage |
ramp
Reference to the ramp
Declaration
public Texture2D ramp { get; set; }
Property Value
| Type | Description |
|---|---|
| UnityEngine.Texture2D |
Methods
| Improve this Doc View SourceAssertNumberString()
Asserts the creation of the string list for gc free number to string
Declaration
protected void AssertNumberString()
Clear()
Clears the buffer and reset the plotting cursor.
Declaration
public virtual void Clear()
Initialize()
CTOR.
Declaration
protected virtual void Initialize()
OnDestroy()
DTOR
Declaration
protected override void OnDestroy()
Overrides
| Improve this Doc View SourceOnSample()
Handler called on a sampling
Declaration
protected virtual int OnSample()
Returns
| Type | Description |
|---|---|
| System.Int32 |
OnUpdate()
Executes the loop and collect information.
Declaration
public virtual void OnUpdate()
OnWrite(StringBuilder)
Handler called to write into the text buffer.
Declaration
protected virtual void OnWrite(StringBuilder p_text)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Text.StringBuilder | p_text |
Plot(Single)
Plots a ramp color based on its intensity.
Declaration
public void Plot(float p_intensity)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Single | p_intensity | Value intensity in the 0..1 range. |
Plot(Color)
Plots a color and move the cursor one step.
Declaration
public void Plot(Color p_color)
Parameters
| Type | Name | Description |
|---|---|---|
| UnityEngine.Color | p_color |
Start()
CTOR
Declaration
protected void Start()
WriteNumber(Single, Single)
Writes a number in the stringbuilder GC free.
Declaration
protected void WriteNumber(float p_number, float p_round = 1F)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Single | p_number | |
| System.Single | p_round |


A fracture in The Ocean Cleanup's "giant Pac Man", dispatched to scoop up waste from the Pacific Ocean, has forced the company to abort the mission and haul the apparatus back to shore.
Cryptoon07-Jan-19 10:32 PM
designer08-Jan-19 05:12 AM
Innovation and expansion of global supply chain network centering on smart contracts and smartcontracts using the integrity of the blockchain are expected to become reality in the near future. However, in order for the emergence of new technology to be incorporated into reality, it must be combined with the overall structural change of the ecosystem. Changing ecosystems is difficult to achieve with just one industry change. Complex changes in various industries require the role of facilitators, not just technology. The role of small but innovative start-ups that pursue change in adventurous thinking is meaningful as a facilitator, but it can not ignore the effects of some multinational corporations, which in itself form an ecosystem, from choosing new technologies.
There was an early assertion that handheld computers would become popular. But start-ups that led to handheld computers have disappeared as quickly as expected. Their innovative ideas and technologies alone could not make consumers carry a handheld computer. It is a fruitful result of a multinational corporation who wanted to buy a big computer and a big computer that led the innovation of battery material. Since Apple and Samsung have made an enterprise-wide effort, citizens around the world have embraced handheld computers, called smartphones, as a component of their lives.
It could eventually be up to some multinational companies to extend the blockchain and smartcontacts beyond the digital boundaries. Applying Ronald Course's logic, which provides insight into transaction costs and the company's presence, multinational firms have emerged as a solution to the distrust caused by today's global supply chain, which has to cross multiple borders. Although the development of the blockchain could lead to the dissolution of multinational corporations, the conclusion of the logic that the block chain should be chosen by multinational companies before it penetrates the lives of global villagers was a vicious paradox that blockchain advocates cannot think of.
Is it really a 51% “attack” if people warned you it’s super cheap and easy to do? Maybe we should change the term to 51% “taking candy from a baby.” #SorryBabies https://t.co/FVjMAEig7I
[https://t.co/8kWqgDWNXb Research] confirms the ETC 51% attack.
4 of the 7 rollback transactions detected were created by the attacker; transferring 54,200 ETC in total.
Gate will be covering the 40k ETC loss for all of the users.
See details: https://t.co/BhEYHZyP3z
Jack Smith08-Jan-19 06:27 PM
What, Gate is covering or the ETC loss, that's generous
Litecoin creator Charlie Lee has suggested that a decentralized cryptocurrency is by definition exposed to 51 percent attacks, otherwise it is centralized.
"Decentralization" is a term that is thrown about like jelly beans in crypto. Nothing can be "decentralized" enough for purists and yet the same ppl shill for maximalism when it suits them. The question is not IF a coin is "truly decentralized" (because that is impossible), but rather in what way IS it centralized and what are the pros and cons of the model; eg BTC's ASIC factory owners and black whales & governments vs. PoS coin holders, tech, governance, coin metrics, ethics, usability, adoption, privacy, resiliency, etc, etc...(edited)
Lumbi09-Jan-19 11:47 AM
I find Charlie Lee's dilemma amusing, because he is HATED by maximalists and yet has a BTC clone that requires him to defend an outdated, centrist-with-time, monopolistic, chain-analytic, PoW model.(edited)
Bitcoin’s role as a data repository is often a topic of debate for many in the space. In the past, Bitcoin community members have argued the benefits of allowing arbitrary data unassociated with bitcoin transactions to be embedded into Bitcoin’s blockchain. On one side of...
Add new standard transaction type, that permits small amount of data to be attached to a transaction, in the form of an additional TxOut that is provably prunable.
KomodoWorld09-Jan-19 03:14 PM
veriblock system is very wasteful, I wonder how will it work if tx fees increase
TonyL09-Jan-19 03:23 PM
Hmm if they are using OP_RETURN data of Bitcoin blocks - interesting what will happen if somebody else will decide to use it
Will cost much I think
1.5 million transactions in January 2018 - yeah seems that with higher tx fees it'll be megarekt
Avec @seb_oll, on est allé acheter du bitcoin dans un tabac parisien. Spoiler : CA MARCHE ! https://t.co/Dc2ve9x87W via @LesEchos #crypto #ether #blockchain
HUAWEI MateBook X Pro is an ultra-slim laptop with FullView display of 91%
screen-to-body ratio. The 3K touchscreen, powerful Intel processor and discrete graphics ensure
this is a perfect companion for entertainment and work.
A Tribute to Euler William Dunham Truman Koehler Professor of Mathematics, Muhlenberg College Tuesday, October 14, 2008, at 6:00 PM Harvard University Scienc...
AMD didn't just respond to introductions from Intel and NVIDIA at CES 2019 -- it came out swinging. The chipmaker had plenty to show at its press event, and ...
In this video we are showing what BAT is and what they do in 100 seconds. Enjoy and if you like videos like this, share with your friends. . . . If you want ...
“The beginning of wisdom is to call things by their proper name.”
I like hard-upgrade instead of hard-fork
ComputerGenie 👴👴👴10-Jan-19 06:52 PM
I like hard-upgrade instead of hard-fork
Semantically, they are not mutually inclusive terms
1
It is possible to have upgrades that do not fork the chain
A "hard-upgrade" could be something "mandatory" due to client support but not something that changes on a consensus level that would produce a "hard-fork" and vise versa
Happening in France:
Limit of €150 withdrawal per day.
Some banks you can't even withdraw your money.
Called for a bankrun tomorrow.
The people should be having the rights to do with their money what they want, not the government.
$BTC
#ShorttheBan...
According to Simon Morris, former chief strategy officer at BitTorrent, Tron won’t be able to manage the transaction volume needed to tokenize BitTorrent.
grewalsatinder11-Jan-19 10:05 PM
Love that Grin community developers are interacting live via computer text to speech in this live stream:
https://youtu.be/JUot_2RG6ZY?t=1696
@Nx_stream Trtl V2
*only CPU/GPU
online since yesterday .. good launch
all info https://t.co/kTYtfh4bw2https://t.co/x0BrkhdLkx
Welcome everyone !.
have a good day
#CryptoNews #Crypto #cryptocurrency #CPU #GPU #Mining
#TRTL #XMR #BTC #LTC #gaming #altc...
This video shows a benchmarking run by Devvio where we processed 8 million transactions per second on-chain, on the Devcash Blockchain protocol. This is the ...
KomodoWorld12-Jan-19 09:48 AM
it's permissioned blockchain, run by the fundation validators and with kyc/aml(edited)
Sublime Water that's ALIVE promotes Real Health. Follow this link to find out if you're providing your body with the proper water it needs to truly hydrate t...
What on earth is going on? ETC miners are now receiving as much as 200 per block (pictured above), rather than the usual 4 ETC per block. Nor is this...
usual is 4 ETC ...(edited)
CryptoNinjaa13-Jan-19 03:04 PM
Oh dear
The article suggests users are paying more fees than they should be to make sure txs are not reversed or something. Dont think the mining reward is bugged
China has introduced new regulations intended to promote the 'healthy development' of blockchain technology. However, the new law also entitles the China has introduced new regulations intended to promote the 'healthy development' of blockchain technology at the expense of pr...
ComputerGenie 👴👴👴13-Jan-19 10:38 PM
Imagine that, when an ETC transaction contains a miners fee of 105, the reward for putting it in a block increases by 105
In this video I explore an elaborate cryptographic internet puzzle orchestrated by a mysterious individual or group known as Cicada 3301. Patreon: https://ww...
Cops can't just hold an iPhone up to a suspect's face to search it, judge rules. It could be a landmark decision in modern privacy.
yeah no need to do it either
PTYX15-Jan-19 02:14 AM
Like they care
Hermes15-Jan-19 02:20 AM
yeah only backdoor allowed that's the truth....the funny thing is that Mueller the guy investigating Trump worked for Apple before the investigation
it's the revolving government / corporation door it never ends
an ex FBI chief working for Apple that's funny(edited)
ComputerGenie 👴👴👴15-Jan-19 02:39 AM
“neither limited to a particular person nor a particular device.” does not mean that they can't, it just means that they couldn't in that instance
It's sad that people never read the words they read
Hermes15-Jan-19 02:58 AM
just because a cellphone is in the location of a suspect doesn't mean he has access to it...neither another person should give access to it just for being there at the wrong moment(edited)
blackjok3r15-Jan-19 02:59 AM
I'm wondering if its possible to like pull a funny face and have the phone upload ita contents then spoof the whole thing with some other persons data
Then it does not matter if they make u unlock it
Kind of like the web browsers that just constantly randomly Google search
The truly global luxury marketplace, with more than 100,000 selected cars, yachts, sailboats, powerboats, watches, motorcycles, jets and helicopters for sale.
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ComputerGenie 👴👴👴15-Jan-19 04:01 PM
By pure, I mean consensus algorithms that use nothing but the original Bitcoin proof of work consensus model without updates or algorithm changes to address its weaknesses relative to the ever expanding technology used to hash it.
Well, no feken duh!
Wim Hof first caught the attention of scientists when he proved he was able to use meditation to stay submerged in ice for 1 hour and 53 minutes without his ...
PHBA206115-Jan-19 11:36 PM
I can stand the cold very well too, but this guy is way beyond my level ...


The developer of gautam.cc has been learning HTML, JavaScript, and CSS about 2.5 years now, and has been writing iOS apps for about 8 months. He started developing gautam.cc over 14 months ago. He has had some experience with Objective-C using the Cocos2D library and has had quite a bit of experience with Adobe's Cordova (formerly known as PhoneGap).


Next: Singular Eigenproblems
Up: Further Details: Error Bounds
Previous: Balancing and Conditioning
  Contents
  Index
Computing si, ,
and
,
To explain si, ,
,
and
in Table 4.7 and Table 4.8,
we need to introduce a condition number for an individual eigenvalue,
block diagonalization of a matrix pair and
the separation of two matrix pairs.
Let
be a simple eigenvalue of (A, B) with
left and right
eigenvectors yi and xi, respectively.
si is the reciprocal condition number for a
simple eigenvalue of (A, B) [95]:
|
(4.11) |
Notice that
yHiAxi / yHiBxi is equal to
.
The condition number si in (4.11) is independent of
the normalization of the eigenvectors.
In the error bound of Table 4.7 for a simple eigenvalue and
in (4.10), si
is returned as RCONDE(i) by xGGEVX (as S(i) by xTGSNA).
We assume that the matrix pair (A, B) is in the generalized Schur form.
Consider a cluster of m eigenvalues, counting multiplicities.
Moreover, assume the n-by-n matrix pair (A, B) is
|
(4.12) |
where the eigenvalues of the m-by-m matrix pair
(A11, B11) are exactly those in which we are interested.
In practice, if the eigenvalues on the (block) diagonal
of (A, B) are not in the desired order,
routine xTGEXC
can be used to put the
desired ones in the upper left corner as shown [73].
An equivalence transformation that block-diagonalizes (A, B)
can be expressed as
|
(4.13) |
Solving for (L,R) in (4.13) is equivalent to solving
the system of linear equations
|
(4.14) |
Equation (4.14) is called a generalized Sylvester equation
[71,75]. Given the
generalized Schur form (4.12), we solve equation (4.14) for
L and R using the subroutine xTGSYL.
and
for the eigenvalues of
(A11, B11)
are defined as
|
(4.15) |
In the perturbation theory for the generalized eigenvalue problem,
and
play the same role as the norm
of the spectral projector |P|
does for the standard eigenvalue problem in section <IP_ADDRESS>.
Indeed, if B = I, then p = q and p equals the norm of the
projection onto an invariant subspace of A.
For the generalized eigenvalue problem we need both a left and a right
projection norm since the left and right deflating subspaces are (usually)
different. In Table 4.8,
li and
denote the left projector norm corresponding
to an individual
eigenvalue pair
and a
cluster of eigenvalues
defined by the subset ,
respectively. Similar notation is used
for ri and .
The values of
and
are returned as RCONDE(1)
and RCONDE(2) from xGGESX (as PL and PR from xTGSEN).
The separation of two matrix pairs
(A11, B11) and
(A22, B22)
is defined as the smallest singular value of the linear map in (4.14)
which takes (L, R) to
(A11 R - L A22, B11 R - L B22)
[94]:
|
(4.16) |
is a generalization of the separation
between two matrices (
in (4.6))
to two matrix pairs, and it
measures the separation of their spectra in the following sense.
If
(A11, B11) and
(A22, B22) have a common eigenvalue,
then
is zero, and it is
small if there is a small perturbation of either
(A11, B11) or
(A22,
B22) that makes them have a common eigenvalue.
Notice that
does not generally equal
(unless Aii and Bii
are symmetric for i = 1, 2). Accordingly, the ordering of the arguments plays
a role for the separation of two matrix pairs, while it does not for the
separation of two matrices
(
).
Therefore, we introduce the notation
|
(4.17) |
An associated generalized Sylvester operator
(A22 R - L A11, B22 R - L B11)
in the definition of
is obtained from
block-diagonalizing a regular matrix pair in lower block triangular
form, just as the operator
(A11 R - L A22, B11 R - L B22)
in the definition of
arises from
block-diagonalizing a regular matrix pair (4.12)
in upper block triangular form.
In the error bounds of Tables 4.7 and 4.8,
and
denote
,
where
(A11, B11) corresponds
to an individual eigenvalue pair
and a cluster of eigenvalues
defined by the subset ,
respectively. Similar notation is used
for
and
.
xGGESX reports estimates of
and
in RCONDV(1)
and RCONDV(2) (DIF(1) and DIF(2) in xTGSEN), respectively.
From a matrix representation of (4.14) it is possible to formulate an
exact expression of
as
|
(4.18) |
where Zu is the 2m(n - m)-by-2m(n - m) matrix
and
is the Kronecker product. A method
based directly on forming Zu is generally impractical,
since Zu can be as large as
n2/2 x n2/2.
Thus we would require as much as O(n4) extra workspace and O(n6)
operations, much more than
the estimation methods that we now describe.
We instead compute an estimate of
as the reciprocal value of an
estimate of
,
where Zu is the matrix representation of the generalized Sylvester
operator. It is possible to estimate
by solving
generalized Sylvester equations
in triangular form.
We provide both Frobenius norm and
one norm
estimates [74].
The one norm estimate makes the condition estimation uniform with the
nonsymmetric eigenvalue problem. The Frobenius norm estimate
offers a low cost and equally reliable estimator.
The one norm estimate is a factor 3 to 10 times more
expensive [74]. From
the definition of
(4.17) we see that
estimates can be computed by using the algorithms for
estimating .
Frobenius norm estimate: From
the Zux = b representation of the
generalized Sylvester equation (4.14) we get a
lower bound on
:
|
(4.19) |
To get an improved estimate we try to choose right hand sides
(C, F) such that
the associated solution (L, R) has as large norm as possible, giving the
estimator
|
(4.20) |
Methods for computing such (C, F) are described in
[75,74].
The work to compute DIF(1) is comparable to solve a generalized
Sylvester equation, which costs only
2m2(n-m) + 2m(n-m)2
operations if the matrix pairs are in generalized Schur form.
DIF(2) is the Frobenius norm
estimate.
One norm norm estimate: From the relationship
|
(4.21) |
we know that
can never differ more than a factor
from
.
So it makes sense to compute an
one norm estimate of .
xLACON implements a method for estimating the one norm of a square matrix,
using reverse communication for evaluating matrix and vector products
[59,64]. We apply this method to
by providing the solution vectors x and y of Zux = z and
a transposed system ZuTy = z, where z is determined by xLACON.
In each step only one of these generalized Sylvester equations is solved
using blocked algorithms [74].
xLACON returns v and
such that Zu-1w = v and
,
resulting in the one-norm-based estimate
|
(4.22) |
The cost for computing this bound is roughly equal to the number of steps
in the reverse communication times the cost for one generalized
Sylvester solve. DIF(2) is the one norm
estimate.
The expert driver routines xGGEVX and xGGESX compute the Frobenius
norm estimate (4.20).
The routine xTGSNA also computes the Frobenius
norm estimate (4.20) of
and .
The routine xTGSEN optionally computes the Frobenius norm estimate
(4.20) or the one norm estimate (4.22).
The choice of estimate is controlled by the input parameter IJOB.
Next: Singular Eigenproblems
Up: Further Details: Error Bounds
Previous: Balancing and Conditioning
  Contents
  Index
Susan Blackford
1999-10-01


---
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title: Publication
description: ""
header-img: "img/post-bg-rwd.jpg"
---
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Understanding Illegal Drug Transactions over Darknet Forums
Yuntian He, Pranav Maneriker, Srinivasan Parthasarathy
KDD SoCal Day, 2023
Efficient Fair Graph Representation Learning Using a Multi-level Framework
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Companion Proceedings of the ACM Web Conference 2023 (WebConf), 2023
WebMILE: Democratizing Network Representation Learning at Scale
Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
The 48th International Conference on Very Large Databases (VLDB, Demo track), 2022
FairEGM: Fair link prediction and recommendation via emulated graph modification
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
The 2nd ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding
Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy
The 28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021
SYSML: StYlometry with Structure and Multitask Learning:Implications for Darknet Forum Migrant Analysis
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks
Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Efficient and Effective Algorithms for Clustering Uncertain Graphs
Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang
Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), 2019
Organizing an influential social event under a budget constraint
Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Budget-constrained organization of influential social events
Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo
IEEE 34th International Conference on Data Engineering (ICDE), 2018
Online pricing for mobile crowdsourcing with multi-minded users
Kai Han, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc), 2017


Animated Grid, simple example
All these blocks are simply positionning in float left, we use AnimatedGrid.js to animate appear and disappear
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--- layout: page title: About header-img: "img/about-bg.png" ---
Veronica Bustabad is a graduate of Duke University and Flatiron School. She currently works at the University of Miami as a Web Developer for the Miller School of Medicine. Veronica has worked for a variety of corporate, environmental and non-profit organizations. She resides in Miami, FL and is an active volunteer in her community. Veronica is excited to expand her technical skill set and is interested in product management and/or software engineering opportunities.


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Learning Outcomes
- Create a properly structured web page (HTML5)
- Represent the Document Object Model (DOM)
- Recognize browser compatibility with standards.
- Style a web page (CSS3)
- Create page layouts using media queries.
- Publish a web page on the internet.
- Explain how web servers display web pages.
- Secure a web page.
- Logically layout a web space.
- Design forms that use major controls and form handling logic.
Create Use simple client-side scripts with JavaScript.
SYST10049 Web Development
@2021-2023 Sheridan College
- Inline, internal, and external stylesheets
- CSS rules, selectors, declarations, properties, values
- Styling Example 51: Follow the process click here
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@2021-2023 Sheridan College
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