Bartels | lightweight collection of routines for physics simulation

by dilevin C++ Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Bartels Summary

Bartels is a C++ library typically used in Simulation applications. Bartels has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A lightweight collection of routines for physics simulation .

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Quality

Security

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Support

Bartels has a low active ecosystem.

It has 19 star(s) with 11 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Bartels is current.

Quality

Bartels has no bugs reported.

Security

Bartels has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Bartels does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Bartels releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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Bartels Key Features

No Key Features are available at this moment for Bartels.

Bartels Examples and Code Snippets

No Code Snippets are available at this moment for Bartels.

Community Discussions

Trending Discussions on Bartels

Implementing the Bartels–Stewart algorithm in Eigen3?

R Shiny - Running a function on user imported data

Jitter plot with ggplot with average line for each group

QUESTION

Implementing the Bartels–Stewart algorithm in Eigen3?

Asked 2019-Jul-17 at 07:56

In the past when I've needed to solve the Sylvester equation, AX + XB = C, I've used scipy's function, solve_sylvester [1], which apparently works by using the Bartels-Stewart algorithm to get things into upper triangular form, and then solving the equation using lapack.

I now need to solve the equation using eigen. eigen provides an function, matrix_function_solve_triangular_sylvester [2], which seems by the documentation to be similar to the lapack function which scipy calls. I'm attempting to translate exactly scipy's implementation in eigen3, but in the end my value for X doesn't satisfy the equation. Here's my implementation:

...

ANSWER

Answered 2019-Jul-15 at 14:56

Your A and B matrices have non-real eigenvalues, therefore their RealSchur decomposition will be non-triangular (only "quasi-triangular", i.e., it contains a 2x2 block on the diagonal). If you compile without -DNDEBUG, you should get an assertion like this:

Source https://stackoverflow.com/questions/56929966

QUESTION

R Shiny - Running a function on user imported data

Asked 2018-Mar-09 at 08:56

I want to create an app which enables user to import their data and to run some function against a user-selected column in the imported data.

For example, I want to run bartels.rank.test() on a column in the imported data and want results to be displayed as result in the UI.

How can I do this?

ui.R ...

ANSWER

Answered 2018-Mar-09 at 08:19

Here's how I would do it: you add a uiOutput, which is rendered when a file is uploaded and allows the user to select the column with the values used for the test. You then set up a series of reactives in the server to 1. read the dataset, 2. pull out the column names, 3. subset the data based on column name selection and run test. Finally you render the result of the test as text. Note this part will require some changes on your part as the result of the test does not nicely display with text. You could try taking the individual elements of the test result and creating a data.frame from them to display as a table.

ui.R

Source https://stackoverflow.com/questions/49187937

QUESTION

Jitter plot with ggplot with average line for each group

Asked 2017-Mar-28 at 07:05

I saw some answers for my question in a recent search, but none of them worked for me.

I would like to plot a geom_jitter() divide by 3 groups and add the average line for each group. So far, I have the following code. But it is still not good.

...

ANSWER

Answered 2017-Mar-22 at 20:34

you could do a little hack with geom_crossbar() like this:

Source https://stackoverflow.com/questions/42962011

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Bartels

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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