 |
Linear Algebra
Performs computations associated with matrices, including solution of linear systems of equations (even over-determined or inconsistent systems and solution by LU factors), matrix operations (add, subtract, multiply), finds determinant, trace, inverse, adjoint, QR or LU factors, eigenvalues, eigenvectors, establish the definiteness of a symmetric matrix, scalar multiplication, transposition, shift, create general, identity, or symmetric matrices
math mathematics linear algebra matrices engineering science equations matrix algebra performs computations associated matrices |
 |
Matrix ActiveX Component
The Matrix ActiveX Component simplifies the use of matrix operations in application development. It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, 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 real or complex matrices.
matrix math eigenvalues eigenvalue eigenvectors eigenvector qr cholesky lu decomposition svd implement matrices mathematical computations applications |
