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
- Matrix Decompositions
- LU Decomposition
- Cholesky Decomposition
- QR Decomposition *
- Singular Value Decomposition (SVD) *
- Basic Matrix Operations
- Scalar Multiplication
- Common Matrix Operations
- 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
It can be used from within any programming language that supports COM objects, such
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,
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!