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Eigenvectors Software

 

 .NET Matrix Library 

 
 
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. Company: Bluebit Software 
Date Released: 14-09-2006 
Program Size:
4022 KB
License: Shareware
Platform: Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,WinXP,Windows2003
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 Matrix ActiveX Component 

 
 
<p>The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development.</p> <p>It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and Cholesky decompositions. Advanced edition additionally supports QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices.</p> <p>Advanced II edition now supports operations with complex matrices.</p> <p>The Matrix ActiveX Component delivers all the speed, numerical stability, robustness and scalability you could ask for, significantly reducing development time and allowing you to focus on the actual goals of your application. Without compromising speed, it uses an object-oriented approach to matrix math computation, it provides you with the Matrix and CMatrix Classes containing all the Properties, Methods that you'll need when deploying your numerical exploration.</p><p>You may be developing a statistical package, or you might want fast 3D graphics transformations, or you may need to solve simultaneous equations, multivariate linear regressions, or to solve EigenValues and EigenVectors problems, Matrix ActiveX Component can do all of this and more.</p> Company: Trifon Triantafillidis 
Date Released: 01-03-2004 
Program Size:
464 KB
License: Demo
Platform: Win98,WinME,WinNT 4.x,WinXP,Windows2000
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 Linear Algebra 

 
 
Performs computations associated with matrices, including solution of linear systems of equations (even over-determined or inconsistent systems and solution by LU factors), matrix operations (add, subtract, multiply), finds determinant, inverse, adjoint, QR or LU factors, eigenvalues and eigenvectors, establish the definiteness of a symmetric matrix, scalar multiplication, transposition, shift, create general, identity, or symmetric matrices Company: Orlando Mansur 
Date Released: 03-03-2003 
Program Size:
2243 KB
License: Shareware
Platform: Windows
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