FlowCalc | Berechnung der Fördermenge von Pool-Pumpen in Abhängigkeit

by 100prznt C# Version: 1.1.65 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | FlowCalc Summary

FlowCalc is a C# library. FlowCalc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Berechnung der Fördermenge von Pool-Pumpen in Abhängigkeit des Systemdrucks und des saugseitigem Druckverlustes.

Support

Quality

Security

License

Reuse

Support

FlowCalc has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 61 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FlowCalc is 1.1.65

Quality

FlowCalc has no bugs reported.

Security

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

License

FlowCalc is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

FlowCalc releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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FlowCalc Key Features

No Key Features are available at this moment for FlowCalc.

FlowCalc Examples and Code Snippets

Beispiel

Lines of Code : 21

License : Permissive (MIT)

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  AquaPlus 6
  Aqua TechniX GmbH
  0.25
  6
  8
  Elias Ruemmler
  pool@100prznt.de
  
    
      10.9
      0
    
    
      10.6
      1

Community Discussions

Trending Discussions on FlowCalc

Matrix inversion and transpose R vs c++

QUESTION

Matrix inversion and transpose R vs c++

Asked 2018-Oct-12 at 16:27

I have calculating power flow across a network. However, I have found that for larger networks the calculation is slow. I tried to implement the algorithm using RcppArmadillo. The Rcpp function is several times faster for small networks/matrices but becomes just as slow for larger ones. The speed of the operation is affecting the usefulness of functions further on. Am I writing the functions badly or is this just the options I have?

The R code below gives and example of the executions times for a matrix of 10, 100, 1000.

...

ANSWER

Answered 2018-Oct-11 at 09:04

I have tried your code on a dual core laptop running Debian Linux and R 3.5.1 linked to OpenBLAS. In addition, I have also used RcppArrayFire to do these calculations using the GPU (nothing fancy, just in-build graphics). Here the benchmark results:

Source https://stackoverflow.com/questions/52741610

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

Vulnerabilities

No vulnerabilities reported

Install FlowCalc

Das Programm erfordert keine Installation. Es kann nach dem kompilieren direkt gestartet werden, beziehungsweise kann eine im Release-Feed veröffentlichte Version herunter geladen und gestartet werden.

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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