Matrix ActiveX Component allows users to perform a wide range of matrix operations including LU, Cholesky, QR, and SVD decompositions, as well as Eigenvalue and Eigenvector computation for both symmetric and non-symmetric matrices. The software also supports complex matrices and is currently available in version 3.1.
The Matrix ActiveX Component is a fantastic tool for simplifying mathematical computations in application development. This software provides a wide range of matrix operations, including addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and Cholesky decompositions.
In its advanced edition, it also includes support for QR and Singular Value (SVD) decompositions, Eigenvalue, and Eigenvector computation for both symmetric and non-symmetric matrices. Moreover, the Advanced II edition now supports operations with complex matrices.
The Matrix ActiveX Component is an incredibly advanced software package that delivers high-speed and numerical stability, robustness, and scalability for any application development project. It achieves this without compromising on speed by adopting an object-oriented approach for matrix math computation. It provides you with the Matrix and CMatrix Classes that contain all of the properties and methods you will need when deploying your numerical exploration.
Whether you're developing a statistical package, looking for fast 3D graphics transformations, or need to solve simultaneous equations, multivariate linear regressions, or EigenValues and EigenVectors problems, the Matrix ActiveX Component can do all of this and much more. It significantly reduces development time, allowing you to focus on the actual goals of your application.
In its advanced edition, it also includes support for QR and Singular Value (SVD) decompositions, Eigenvalue, and Eigenvector computation for both symmetric and non-symmetric matrices. Moreover, the Advanced II edition now supports operations with complex matrices.
The Matrix ActiveX Component is an incredibly advanced software package that delivers high-speed and numerical stability, robustness, and scalability for any application development project. It achieves this without compromising on speed by adopting an object-oriented approach for matrix math computation. It provides you with the Matrix and CMatrix Classes that contain all of the properties and methods you will need when deploying your numerical exploration.
Whether you're developing a statistical package, looking for fast 3D graphics transformations, or need to solve simultaneous equations, multivariate linear regressions, or EigenValues and EigenVectors problems, the Matrix ActiveX Component can do all of this and much more. It significantly reduces development time, allowing you to focus on the actual goals of your application.
What's New
Version 3.1: N/A