Your Tree 2.2

YourTree can be used to construct: Family trees Directories trees - Yes you can now print directories! Brainstorming diagrams TQM Cause and effect diagrams Macro plans Hierarchical decomposition diagrams YourTree is a generic freeware text tree view tool. It supports any number of data fields, text notes, attached files and hyperlinks.

See also: hierarchical decomposition, family trees, genealogy, directory, brainstorming diagram, TQM, Cause effect, ancestry, ancestors

.NET Matrix Library 2.2.5000.72

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.

See also: matrix, vector, math, eigenvalues, eigenvalue, eigenvectors, eigenvector, qr, cholesky, lu, decomposition, svd, net

Matrix ActiveX Component 3.1

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.

See also: decomposition, matrix, lu, cholesky, qr, eigenvector, eigenvectors, eigenvalue, svd, eigenvalues, math

Matrix ActiveX Component 3.1

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.

See also: decomposition, lu, cholesky, qr, eigenvector, eigenvectors, eigenvalue, eigenvalues, math, matrix, svd