StarMath 2.0.20.204

A small library for performing matrix math, linear algebra - now including sparse matrix solve. Most functions are static and use simple arrays (e.g double[,]) making it easy to use in other projects.

Install-Package StarMath -Version 2.0.20.204
dotnet add package StarMath --version 2.0.20.204
<PackageReference Include="StarMath" Version="2.0.20.204" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add StarMath --version 2.0.20.204
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

  • .NETStandard 2.1

    • No dependencies.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on StarMath:

Package Downloads
TVGL
This dynamic library is focused on Computational Geometry functions likes the ones you would find in CGAL. As opposed to copying directly others work, we have sought to create functions from scratch that are optimized or straightforward as a C# implementation. As a .NET Standard library (and a legacy portable class library), the functions can be accessed from other managed code.
OOOT
A library (.dll) of various linear, nonlinear, and stochastic numerical optimization techniques. While some of these are older than 40 years, many have yet to take advantage of an object-oriented programming model. This toolbox was originally created to aid in the automated design of various engineering artifacts. The following “class diagram” shows the main optimization methods that have currently been implemented – as well as some insight into organization of classes and objects. The best way to understand how to use OOOT, is through examples. There are two basic types of methods implemented so far: methods for continuous variables and methods for discrete variables. Approaches for mixed methods such as Branch-and-Bound are planned but not currently included. ClassDiagram1Many of the optimization methods for real valued decision variables will require that a line-search method be specified (Arithmetic Mean, Golden Section, DSC-Powell) and a search direction method (Cyclic Coordinate Search, Steepest Descent, Powell’s Method, Fletcher-Reeves, or Broyden-Fletcher-Goldfarb-Shanno). With this modular design it is possible to reconfigure these to create 80 unique algorithms. In addition to these there are also ten different convergence criteria that can be added individually or in any combination to these 80 algorithms. Read more about convergence methods here. But, one of the biggest advantages of the toolbox is the way that objective functions, equalities and inequalities can be easily added to the optimization process. Most (if not all open source approaches) optimization codes requires the problem specific details to be compiled along with the algorithm. Here, the problem formulation can be in another library or exe and can be customized at run-time instead of compile time. It is even possible to have the optimization algorithm change in response to the nature of the design variables and the number of constraints. Read more about problem formulation

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on StarMath:

Repository Stars
DynamoDS/Dynamo
Open Source Graphical Programming for Design

Version History

Version Downloads Last updated
2.0.20.204 864 2/4/2020
2.0.17.1019 3,078 10/20/2017
2.0.17.725 1,315 7/25/2017
2.0.17.413 629 4/14/2017
2.0.16.529 786 5/29/2016
2.0.16.423 520 4/24/2016
2.0.16.312 579 3/12/2016
2.0.16.311 516 3/11/2016
2.0.16.229 494 2/29/2016
2.0.16.228 494 2/28/2016
2.0.16.1 484 2/20/2016
2.0.15.9091 649 10/5/2015
2.0.15.9090 512 10/2/2015
2.0.15.9088 592 9/18/2015
2.0.15.9084 498 9/14/2015
2.0.15.9083 498 9/14/2015
2.0.15.9082 520 9/12/2015
2.0.15.9080 506 9/9/2015
2.0.15.9041 499 9/4/2015
2.0.15.905 507 9/6/2015
2.0.15.904 548 9/4/2015
2.0.15.807 519 8/7/2015
2.0.15.806 474 8/7/2015
2.0.15.716 529 7/16/2015
2.0.15.707 560 7/7/2015
2.0.15.630 526 6/30/2015
2.0.15.217 743 2/18/2015
2.0.15.117 596 1/17/2015
2.0.14.1207 578 12/7/2014
2.0.14.1206 532 12/7/2014
2.0.14.1114 9,278 11/14/2014
1.0.20.204 120 2/4/2020
1.0.14.827 910 8/26/2014
1.0.14.826 588 8/26/2014
1.0.14.808 570 8/8/2014
1.0.14.531 578 6/4/2014