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NMath 5.0

Complete .NET mathematical library. Matrix, vector, high-performance computation


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For NMath 5.0Publisher's description


NMath is a Development software developed by CenterSpace Software. After our trial and test, the software is proved to be official, secure and free. Here is the official description for NMath:

EditByBrothersoft: The NMath .NET math Library contains foundational classes for object-oriented numerics on the .NET platform.

Product features include:

* Single- and double-precision complex number classes.
* Full-featured vector and matrix classes for four datatypes: single- and double-precision floating point numbers, and single- and double-precision complex numbers.
* Flexible indexing using slices and ranges.
* Overloaded arithmetic operators with their conventional meanings for those .NET languages that support them, and equivalent named methods (Add(), Subtract(), and so on) for those that do not.
* Full-featured structured Sparse matrix classes, including triangular, Symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded.
* Functions for converting between general matrices and structured sparse matrix types.
* Functions for transposing structured sparse matrices, computing inner products, and calculating matrix norms.
* Classes for factoring structured sparse matrices, including LU factorization for banded and tridiagonal matrices, Bunch-Kaufman factorization for symmetric and Hermitian matrices, and Cholesky decomposition for symmetric and Hermitian positive definite matrices. Once constructed, matrix factorizations can be used to solve Linear Systems and compute determinants, inverses, and condition numbers.
* General sparse vector and matrix classes, and matrix factorizations.
* Orthogonal decomposition classes for general matrices, including QR decomposition and singular value decomposition (SVD).
* Advanced least squares factorization classes for general matrices, including Cholesky, QR, and SVD.
* LU factorization for general matrices, as well as functions for solving linear systems, computing determinants, inverses, and condition numbers.
* Classes for solving symmetric, Hermitian, and nonsymmetric eigenvalue problems.
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