.NET Matrix Library 32-bit Developer 5.0 free download 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.   
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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.

Updated Sep 13, 2011 19:57:36
Size9032 kb
LicenceCommercial
StatusMajor Update
LanguagesEnglish
OSWindows 2000, Windows XP, Windows Vista
Homepagebluebit.gr
AuthorTrifon Triantafillidis
.NET Matrix Library 32-bit Developer 5.0 free download 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.

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Description:
   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.

   Version 5.0 adds support for sparse matrices.
Short tags:
matrix, vector, math, eigenvalues, eigenvalue, eigenvectors, eigenvector, qr, cholesky, lu, decomposition, svd, net
System Requirements:
.NET Framework 2.0
Change Info:
Added support for sparse Matrices
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