Bluebit .NET Matrix Library - 32 bit
This is a free version of .NET Matrix Library (NML™) which will allow matrix sizes up to 1000 x 1000.
The Bluebit .NET Matrix Library (NML™) provides classes for object-oriented linear algebra in the .NET platform.
It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD.
.NET Matrix Library (NML™) also supports sparse matrices and advanced methods for solving large sparse systems of linear equations.
The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations.
While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used within the library and provide fast execution and accurate calculations.
The Bluebit .NET Matrix Library has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and easy to use environment of the .NET Framework.
Install-Package Bluebit.MatrixLibrary.x86 -Version 7.0.1
dotnet add package Bluebit.MatrixLibrary.x86 --version 7.0.1
<PackageReference Include="Bluebit.MatrixLibrary.x86" Version="7.0.1" />
paket add Bluebit.MatrixLibrary.x86 --version 7.0.1
#r "nuget: Bluebit.MatrixLibrary.x86, 7.0.1"
// Install Bluebit.MatrixLibrary.x86 as a Cake Addin #addin nuget:?package=Bluebit.MatrixLibrary.x86&version=7.0.1 // Install Bluebit.MatrixLibrary.x86 as a Cake Tool #tool nuget:?package=Bluebit.MatrixLibrary.x86&version=7.0.1
Fixed limit for matrix sizes.
This package has no dependencies.
This package is not used by any NuGet packages.
This package is not used by any popular GitHub repositories.