The Matrix ActiveX Component streamlines matrix mathematical computations for application development purposes.
If you need to calculate EigenValues and EigenVectors, the new Advanced edition of Matrix ActiveX Component has you covered. This software not only simplifies this complex calculation into just one line of code but also offers a range of matrix algebra features.
Developing a matrix algorithm from scratch can be a time-consuming process, but Matrix ActiveX Component does the work for you, delivering speed, numerical stability, and robustness. This saves you development time, allowing you to focus on the goals of your application.
The software uses an object-oriented approach to matrix mathematical computation while providing the Matrix Class containing all the Properties, Methods, and Events necessary for numerical exploration. Basic and common matrix operations like Addition, Subtraction, Transpose, Scalar Multiplication, and Normalize are part of the package. Other functionalities include multiplications, inversions, determinants, solving simultaneous equations, matrix decompositions, and vector functions like Column and Row Vectors.
Even if you have no experience with high-performance matrix calculations, Matrix ActiveX Component makes it easy to get started. The software comes with comprehensive documentation, context-sensitive help, and source code examples to make operations clearer. The team also provides online help and is ready to help you get the most out of Matrix ActiveX Component.
No matter what your needs, Matrix ActiveX Component is suitable for developing statistical packages, fast 3D graphics transformations, solving simultaneous equations or multivariate linear regressions. The software proves to be robust, versatile, and easy to use. Moreover, the Advanced edition offers even more functionalities like QR decomposition, Singular Value Decomposition (SVD), Eigenvalues, EigenVectors, OnProgress Events, and Done Events.
The software enables you to focus on the actual goals of your application, while also reducing coding time, and increasing speed and reliability. It is an excellent choice for anyone looking for high-performance matrix calculations in their desktop applications.
Developing a matrix algorithm from scratch can be a time-consuming process, but Matrix ActiveX Component does the work for you, delivering speed, numerical stability, and robustness. This saves you development time, allowing you to focus on the goals of your application.
The software uses an object-oriented approach to matrix mathematical computation while providing the Matrix Class containing all the Properties, Methods, and Events necessary for numerical exploration. Basic and common matrix operations like Addition, Subtraction, Transpose, Scalar Multiplication, and Normalize are part of the package. Other functionalities include multiplications, inversions, determinants, solving simultaneous equations, matrix decompositions, and vector functions like Column and Row Vectors.
Even if you have no experience with high-performance matrix calculations, Matrix ActiveX Component makes it easy to get started. The software comes with comprehensive documentation, context-sensitive help, and source code examples to make operations clearer. The team also provides online help and is ready to help you get the most out of Matrix ActiveX Component.
No matter what your needs, Matrix ActiveX Component is suitable for developing statistical packages, fast 3D graphics transformations, solving simultaneous equations or multivariate linear regressions. The software proves to be robust, versatile, and easy to use. Moreover, the Advanced edition offers even more functionalities like QR decomposition, Singular Value Decomposition (SVD), Eigenvalues, EigenVectors, OnProgress Events, and Done Events.
The software enables you to focus on the actual goals of your application, while also reducing coding time, and increasing speed and reliability. It is an excellent choice for anyone looking for high-performance matrix calculations in their desktop applications.
What's New
Version 2.1: N/A