Implement matrices for mathematical computations in your applications - Windows Demo $49.
The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development.
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.
Matrix ActiveX Component 3.1 1-Mar-04 English 468 KB
Advanced II edition now supports operations with complex matrices.
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.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.
|Eigenvalues Eigenvectors Qr Cholesky Decomposition. Svd Implement Matrices Mathematical Computations Applications Algebra.|| Matrix ActiveX Component|
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