Eigenvalues eigenvectors in your source code
Matrix ActiveX Component

Eigenvalues and Eigenvectors calculation
in just one line of your source code

Eigenvalues and Eigenvectors calculation is just one aspect of matrix algebra that is featured in the new Advanced edition of Matrix ActiveX Component (MaXC).

In addition our new .NET Matrix Library provides classes for the .NET Framework. (Click here to learn more about NML).

Supported operations include:

  • Eigen Problems
    • Eigenvalues Eigenvectors of symmetric and non- symmetric matrices *
  • Matrix Decompositions
    • LU Decomposition
    • Cholesky Decomposition
    • QR Decomposition *
    • Singular Value Decomposition (SVD) *
  • Basic Matrix Operations
    • Addition
    • Subtraction
    • Scalar Multiplication
    • Normalize
    • Transpose
  • Common Matrix Operations
    • Multiplication
    • Inversion
    • Determinant
  • Simultaneous Equation Solving
    • Using Matrix Inversion
    • Using Gauss Elimination

(*) Available in the Advanced editions

The Matrix ActiveX Component (MaXC) 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, MaXC uses an object-oriented approach to matrix math computation, providing you with the Matrix and CMatrix objects containing all the Properties and Methods that you'll need when deploying your numerical exploration.

It can be used from within any programming language that supports COM objects, such as Visual Basic, .NET Basic, Vbscript, ASP, JavaScript, C++, C#, Delphi and Excel's VBA.

Download a free trial now!

Use it in your source code and see how the Matrix ActiveX Component simplifies your coding tasks.

Whether you are developing a statistical package, seeking fast 3D graphics transformations, looking to solve simultaneous equations, multivariate linear regressions, eigenvalue and eigenvector calculation problems, the Matrix ActiveX Component can do all of this and more!

Finally, you can discover for yourself just how useful and versatile the Matrix ActiveX Component is in all types of matrix math calculations, as well as in its ability to calculate eigenvalues and eigenvectors.

Object-oriented linear algebra for the .NET Platform

If you program in C#, VB.NET, or managed C++ then the Bluebit .NET Matrix Library is the right tool for you. It 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.

Download a 30 day free trial of NML now!