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The Bluebit .NET Matrix Library 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. 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.

Free download from Shareware Connection - The Bluebit .NET Matrix Library provides classes for object-oriented algebra. Solves systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems.

Publisher: Bluebit Software | License: Shareware | Price: 49 Version: 2 | Size: 3573 KB | Platform: Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,WinXP,Windows2003 Released Date: 15-01-2005 | Rating: 5 | Title: .NET Matrix Library Author Url: http://www.bluebit.gr Program Info Url: http://www.bluebit.gr/NET Download Url: http://www.bluebit.gr/NET/BNML.zip Screenshot Url: http://www.bluebit.gr/NET/BNML.gif Homepage | Download

More downloads from .NET Matrix Library publisher Bluebit Software:

Matrix ActiveX Component - Matrix ActiveX Component provides for all basic matrix operations plus LU, Cholesky, QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices. Version 3.1 supports complex matrices.

.NET Matrix Library keywords:

matrix, vector, math, eigenvalues, eigenvalue, eigenvectors, eigenvector, qr, cholesky, lu, decomposition, svd, net

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