Universal Kriging - version 3 (kriging_v3)¶
Universal Kriging in d-dimensions. This differs from kriging_v1 and kriging_v2 which implement only simple Kriging.
-
vkikriging.kriging_v3.
F_linear
(xi)[source]¶ Basis functions for parameterization of non-stationary mean. This version of the function implements a linear basis.
Parameters: xi (ndarray) – Coordinates of points in parameter space, shape (n, d) Returns: Matrix F shape (n, M), where M is the number of basis functions. Return type: out (ndarray)
-
vkikriging.kriging_v3.
dF_linear
(xi)[source]¶ Derivatives of basis functions defined in F_linear(). (Would be) needed for non-stationary mean with GEK.
Parameters: xi (ndarray) – Coordinates of points in parameter space, shape (n, d) Returns: Tensor of derivatives, shape (n, M, d). Return type: out (ndarray)
-
vkikriging.kriging_v3.
kriging
(xi, x, observed, sigma_y, F_mean, sd_x, gamma)[source]¶ - Function kriging_v1.kriging() modified for universal Kriging (spatially variable mean based on general regression). This is achived by introducing a function-basis F (e.g. F_linear()) for representing the variable mean, and new unknown vector lambda. The mean is then lambda . F, and the unknown vector x is augmented:
x_a = [x, lambda],
given which the new observation operator is:
H_a = [H, F].- The prior mean (of the Gaussian process) is now always zero, instead of specifying
- the mean mu_x, the function-basis must be specified in the argument F_mean.
Parameters: - xi (ndarray) – Sample locations (both observations and predictions), shape (n,d)
- x (ndarray) – Sample values (values not at observation locations are not used). Shape n.
- observed (ndarray) – Bool array specifying which values are observed. Shape n, True - observed, False - not observed.
- sigma_y (float) – Standard-deviation of observation error. Scalar.
- F_mean (function) – A function in the template of F_linear(), providing a basis for the description of the non-stationary mean (in d-dimensions).
- sd_x (float) – (Sample) standard-deviation of the approximated function, used in the prior. Scalars.
- gamma (float) – Correlation coefficient in all directions. Scalar.
Returns: Dictionary of prior and posterior statistics.
Return type: out (dict)


About Us
What started out as a WhatsApp Group among students interested in finance, ProfNITT is now the finance and investments club of NIT Trichy, with more than 30 members. We aim to bring about financial literacy among students of NIT-Trichy, helping them make well-informed monetary decisions.
The club conducts several events throughout the year to engage with the student community such as
- Knowledge Sharing Sessions
- Guest Lectures and Webinars
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The club also aims to empower its members by increasing their knowledge base in finance related domains, via various interactions, discussions and industry projects brought with the help of our strong alumni network.
Events
The Club Conducts various other events throughout the academic year, to engage with the student community and introduce them to important concepts and new advancements in finance.
Investas
Investas is the annual 3-day managerial-fest conducted by ProfNITT, the Finance and Investments club of
NIT Trichy for Finance Enthusiasts
in NIT Trichy and South India.
The 2019 edition of Investas was a resounding success with 8 major
events and 5 sponsors, and over 1000
students attending the fest.
Insight
Every year, a distinguished alumni in the field of finance is invited to interact with the student community and put forward their opinions on various upcoming domains of finance.
The Talk
Every year we invite a Finance Leader to Campus to share their journey to the students and give them exposure from an Alumni who trod a different path to become a pioneer in their field.
Guest Lectures and Webinars
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Journey
Contact
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--- layout: post title: Rough storyboard date: '2018-03-01T11:30:27+01:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/171418961561/rough-Storyboards ---


Nikhilesh Mohan
only known as Nik, Nikhi or Nikhil is a visionary whose passion
is to create and innovate for a better today. Currently in his
2nd year of design school, he is pursuing a dual concentration
degree in Product and multimedia design hoping to bridge the
gap between man and machine.
His ethos is driven by the desire to seek and learn anything and
everything possible to apply design in an array of mediums and
see how they coexist. One of his peculiar interests is in Artificial
Intelligence and how it can be made into just A.nother I.diot that
can enhance our day to day life.
An immense fascination in stories, photography and technology
put together influences his rationally crazy ideas and the drive
to make them a reality. One such crazy goal, if not the most
ambitious one is to impact the lives of a billion people through
design.


I am Axl, an UI Designer, Front End Developer, Illustrator, and of course Anime and Visual Novel lovers from Indonesia.
Living in Jakarta, and studied at Bina Sarana Informatika.
I love my work and enjoy each new project as I get it.
By the way i'm just a freelance and work a project at home with only laptop and figurine beside my laptop.
Feel free to contact me on
Facebook, don't be hesitate to ask, also you can add me :))
To be honest, my english are really bad, so I'll ready to start learning english by writing an article in English also :)


Simona Halep is a Romanian professional tennis player. She is the current world No. 1 on the WTA Tour, a ranking she first achieved in October 2017, and has won 18 WTA singles title and one WTA doubles title.
Caroline Wozniacki is a Danish professional tennis player. She is a former world No. 1 in singles. She is also the first woman from a Scandinavian country to hold the top ranking position and 20th in the Open Era. She finished on top of the rankings in both 2010 and 2011.
Angelique Kerber is a German professional tennis player and former world No. 1, and a three time Grand Slam champion. Having made her professional debut in 2003, Kerber rose to prominence upon reaching the semifinals of the 2011 US Open as the No. 92 ranked player in the world.
Petra Kvitová is a Czech professional tennis player. Known for her powerful left-handed groundstrokes and variety, Kvitová turned professional in 2006 and has won 25 career singles titles, two of which are Grand Slam titles, the Wimbledon Championships in 2011 and in 2014.
Karolína Plíšková is a Czech professional tennis player. She is a former world No. 1 and is currently ranked No. 7 in the world by the Women's Tennis Association. Plíšková has won eleven singles and five doubles titles on the WTA tour, as well as 10 singles and six doubles titles on the ITF circuit in her career.
Naomi Osaka is a professional tennis player who represents Japan in competition. She is the reigning US Open champion in women's singles. Osaka has a career-high Women's Tennis Association ranking of No. 4 in the world, which she achieved in October 2018. She has won two titles and reached four finals on the WTA Tour.
Sloane Stephens is an American professional tennis player. She is currently ranked no. 6 in the world by the Women's Tennis Association, and reached her career-high ranking of world No. 3 on July 16, 2018. Stephens was the 2017 US Open champion, and has won six WTA singles titles in total.
Jeļena Ostapenko, also known as Aļona Ostapenko, is a professional tennis player from Latvia. On 19 March 2018, she reached her best singles WTA rankings of world No. 5, and she peaked at world No. 32 in the WTA doubles rankings on 19 June 2017.
Garbiñe Muguruza Blanco is a Spanish-Venezuelan professional tennis player and former world No. 1, currently ranked No. 15 in singles by the Women's Tennis Association. Since turning professional in 2012, she has won six singles titles, including two majors, the 2016 French Open and the 2017 Wimbledon Championships
Serena Jameka Williams is an American professional tennis player. The Women's Tennis Association ranked her world No. 1 in singles on eight separate occasions between 2002 and 2017. She reached the No. 1 ranking for the first time on July 8, 2002.
Born in 1980, in Lynwood, California, Venus Williams learned to play tennis on the public courts of Los Angeles. After turning professional in 1994, she won seven Grand Slam titles and an Olympic gold medal in singles play. She also teamed up with sister Serena Williams to win several doubles championships, boosting her victory total even after being diagnosed with an autoimmune disease in 2011.
Maria Yuryevna Sharapova is a Russian professional tennis player. A United States resident since 1994, Sharapova has competed on the WTA tour since 2001. She has been ranked world No. 1 in singles by the WTA on five separate occasions, for a total of 21 weeks.
Victória Fyódorovna Azárenka is a Belarusian professional tennis player. She is a former world No. 1 in singles and was the year-end No. 1 in 2012. Azarenka has won 20 WTA singles titles, 6 WTA doubles titles, and 3 mixed doubles titles.
Agnieszka Roma Radwańska is a Polish professional tennis player. Known for making intelligent use of the court, she has won twenty career singles titles and achieved a career-high singles ranking of world No. 2 in July 2012.
Svetlana Aleksandrovna Kuznetsova is a Russian professional tennis player. Kuznetsova has appeared in four Grand Slam singles finals, winning two, and has also appeared in seven doubles finals, winning twice.


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Object org.apache.spark.api.java.JavaSparkStatusTracker
public class JavaSparkStatusTracker
Low-level status reporting APIs for monitoring job and stage progress.
These APIs intentionally provide very weak consistency semantics; consumers of these APIs should
be prepared to handle empty / missing information. For example, a job's stage ids may be known
but the status API may not have any information about the details of those stages, so
getStageInfo
could potentially return null
for a valid stage id.
To limit memory usage, these APIs only provide information on recent jobs / stages. These APIs
will provide information for the last spark.ui.retainedStages
stages and
spark.ui.retainedJobs
jobs.
NOTE: this class's constructor should be considered private and may be subject to change.
| Method Summary | |
|---|---|
int[] |
getActiveJobIds()
Returns an array containing the ids of all active jobs. |
int[] |
getActiveStageIds()
Returns an array containing the ids of all active stages. |
int[] |
getJobIdsForGroup(String jobGroup)
Return a list of all known jobs in a particular job group. |
SparkJobInfo |
getJobInfo(int jobId)
Returns job information, or null if the job info could not be found or was garbage collected. |
SparkStageInfo |
getStageInfo(int stageId)
Returns stage information, or null if the stage info could not be found or was
garbage collected. |
| Methods inherited from class Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Method Detail |
|---|
public int[] getJobIdsForGroup(String jobGroup)
jobGroup
is null
, then
returns all known jobs that are not associated with a job group.
The returned list may contain running, failed, and completed jobs, and may vary across invocations of this method. This method does not guarantee the order of the elements in its result.
jobGroup
- (undocumented)
public int[] getActiveStageIds()
This method does not guarantee the order of the elements in its result.
public int[] getActiveJobIds()
This method does not guarantee the order of the elements in its result.
public SparkJobInfo getJobInfo(int jobId)
null
if the job info could not be found or was garbage collected.
jobId
- (undocumented)
public SparkStageInfo getStageInfo(int stageId)
null
if the stage info could not be found or was
garbage collected.
stageId
- (undocumented)
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Raghul Manikandan, 19
Code, data and design enthusiast from ·
India · Open source fanatic from
Amrita University ·
Founder of Codein
Currently learning Reverse Engineering


In a client/server configuration, by putting servers into logical member groups, you can control which servers your clients use and target specific servers for specific data or tasks. You can configure servers to manage different data sets or to direct specific client traffic to a subset of servers, such as those directly connected to a back-end database.
You can also define member groups to deploy JARs in parallel or to perform administrative commands across a member group.
To add servers to a member group, you can configure the following:
Add the member group names to the
gemfire.properties
file for the server. For example:groups=Portfolios,ManagementGroup1
A server can belong to more than one member group. If specifying multiple group membership for the server, use a comma-separated list. Alternatively, if you are using the
gfsh
command interface to start up the server, provide a group name as a parameter:gfsh>start server --name=server1 \ --group=Portfolios,ManagementGroup1
To configure a client to connect to a specific member group, modify the client’s
cache.xml
file to define a distinct pool for eachserver-group
and assign the pools to the corresponding client regions:<pool name="PortfolioPool" server-group="Portfolios" ... <locator host="lucy" port="41111"> ... </pool> ... <region name="clientRegion" ... <region-attributes pool-name="PortfolioPool" ...


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Angular Boilerplate
Summary
Angular 1.x starter kit featuring:
Usage
Clone the repo or download the zip file. If you cloned, rm -rf .git
npm install
gulp
Build
npm run build
Style
JavaScript
- Each module should be totally self-contained. Any functionality shared across modules should be moved into
common/
. - Modules can have their own directives, services, filters, etc. If multiple files are needed in order to maintain file size,
a folder should be created (
directives/
,services/
, etc) and the broken up files should be placed into their respective folders with less abstract naming conventions. - JavaScript files should always be as close as possible - preferably on the same level - as their HTML partials.
- If a directive has a partial - which they tend to - a new folder should be created that is named accordingly (meaning not something generic) and the HTML partial and the JavaScript file should be placed together in that folder.
Sass
app.scss
is merely a table of contents. There should be no Sass in the file.- Each module is responsible for exporting its submodules. In other words,
app.scss
should only import top level modules. - Sass that needs to be shared among modules should be moved into
assets/stylesheets/
.
Modules
A typical module will look something like this:
import angular from 'angular';
import _ from 'lodash';
class ExampleCtrl {
constructor(data) {
this.exampleData = data;
}
someMethod() {
return _.map(this.exampleData, function(data) {
return (data * 2);
});
}
get data() {
return this.exampleData;
}
}
ExampleCtrl.$inject = ['data'];
/*
Allows us to import exampleModule like so:
import exampleModule from './example';
angular.module('foo', [
exampleModule.name
])
*/
export default angular.module('example', [])
.controller('ExampleCtrl', ExampleCtrl)
.config(['$stateProvider', function($stateProvider) {
$stateProvider.state('app.example', {
controller: 'ExampleCtrl',
controllerAs: 'Example',
url: '/example',
template: require('./_example.html'),
resolve: {
data: [function() {
return [1, 2, 3, 4, 5, 6];
}]
}
});
}]);
Commit Conventions
Follow conventional changelog
Documentation
Documentation via JSDoc
npm run docs
gulp documentation:serve


Implementation file for iSensor-SPI-Buffer USB command line register interface.
More...
Implementation file for iSensor-SPI-Buffer USB command line register interface.
Copyright (c) Analog Devices Inc, 2020 All Rights Reserved.
- Date
- 6/26/2020
- Author
- A. Nolan (alex..nosp@m.nola.nosp@m.n@ana.nosp<EMAIL_ADDRESS>◆ USBDisconnect()
HDisconnect USB device from the host.
- Returns
- void
This function should be called just prior to resetting, to ensure that after reset the USB enumerates correctly.
◆ USBRxHandler()
Handler for received USB data.
- Returns
- void
This function should be called periodically from the main loop to check if new USB data has been received
◆ USBTxHandler()
| void USBTxHandler |
( |
const uint8_t * |
buf, |
|
|
uint32_t |
count |
|
) |
| |
USB write handler.
- Parameters
-
| buf | Buffer containing data to write |
| count | Number of bytes to write |
- Returns
- void
This function is called by the script execution routines, when a script object is executed from a USB CLI context.
◆ USBWaitForTxDone()
| bool USBWaitForTxDone |
( |
uint32_t |
TimeoutMs | ) |
|
Helper function to wait for the USB Tx to be free.
- Parameters
-
| TimeoutMs | Operation timeout (in ms). Must keep under watchdog reset period |
- Returns
- true if Tx is free, false is timeout elapses
◆ WatermarkLevelAutoset()
| void WatermarkLevelAutoset |
( |
| ) |
|
Helper function to set the watermark interrupt level for optimal USB streams.
- Returns
- void
This function can be called to configure the watermark interrupt level for ideal operation using a USB CLI stream. To get maximum throughput over the USB CLI stream, while maintaining minimal latency, the watermark interrupt level should be set such that each USB transmission occupies a single full buffer (512 bytes).
After calling this function, WATERMARK_INT_CONFIG will be set based on the current buffer length setting.
◆ CurrentCommand
| uint8_t CurrentCommand[64] |
|
static |
◆ EchoBuf
Byte buffer for echoing to console
◆ g_regs
◆ hUsbDeviceFS
| USBD_HandleTypeDef hUsbDeviceFS |
|
extern |
◆ NewLineStr
| const uint8_t NewLineStr[] = "\r\n" |
|
static |
◆ scr
Script object (parsed from current command)
◆ USBRxCount
USB Rx count (from usbd_cdc_if.c)
◆ UserRxBufferFS
| uint8_t UserRxBufferFS[APP_RX_DATA_SIZE] |
|
extern |
USB Rx buffer (from usbd_cdc_if.c)
◆ UserTxBufferFS
| uint8_t UserTxBufferFS[APP_TX_DATA_SIZE] |
|
extern |
USB Tx buffer (from usbd_cdc_if.c)