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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	NMath Matrix
	NMath Matrix is an advanced matrix manipulation library that extends NMath Core to include structured sparse matrix classes (triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded), factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), advanced least squares classes (Cholesky, QR, and SVD), and solutions to symmetric, Hermitian, and nonsymmetric eigenvalue problems. Fully compliant with the Microsoft Common Language Specification, all NMath routines are callable from any .NET language, including C# and Visual Basic.NET. For most computations, NMath libraries use proven, highly optimized versions of public domain linear algebra subroutine libraries, such as the BLAS and LAPACK. This gives NMath routines accuracy you can trust, and performance levels comparable to C or Fortran, combined with state of the art, object-oriented interfaces that leverage the full power of the .NET platform. If you are interested in evaluating NMath Matrix, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period. Company: CenterSpace Software  Date Released: 08-10-2004  Program Size: 4000 KB License: Demo Platform: Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,WinXP,Windows CE
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	.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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