Matrix ActiveX Component provides for all basic matrix operations plus LU, Cholesky, QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices. Version 3.1 supports complex matrices. 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.
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The Bluebit .NET Matrix Library provides classes for object-oriented algebra. Solves systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. The Bluebit .NET Matrix Library 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. Both real and complex matrices are supported.
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vector,
math,
eigenvalues,
eigenvalue,
eigenvectors,
eigenvector,
qr,
cholesky,
lu,
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This is a C++ template class library to perform matrix calculations with ease and efficiency in your programs. It supports most of the matrix calculations that you may need to do in your C++ programs. Full source code is included with the package. This is a C++ template class library to perform matrix calculations, just like built-in data types, with ease and efficiency in your programs. It supports most of the matrix calculations like arithmetic operations, sub-matrix operations, inversion, various matrix decompositions, solution of simultaneous linear equations, eigen value and eigen vector problem, and much more. Full source code is included with the package.
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