Cholesky
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NMath Matrix
NMath Matrix is an advanced matrix manipulation library that extends NMath Core to include structured sparse matrix classes (triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded), factorizations (LU, Bunch-Kaufman,
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MatBasic v.1.28
The MatBasic is the language of mathematical calculations. Strong mathematical base: full complex arithmetic's, linear algebra and operations, nonlinear methods and graphical visualization.
Matrix ActiveX Component v.3 1
The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development. It provides for matrix operations such as addition, subtraction, multiplication, inversion,
.NET Matrix Library 64-bit Developer v.5.0
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,
.NET Matrix Library 32-bit Developer v.5.0
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,
CCruncher v.1.9
Compute VAR fast and easy. CCruncher is a project for the simulation of large portfolios of SME loans where the unique risk is the default risk. The method used to determine the distribution of losses in the portfolio is the Monte Carlo algorithm,
Free Matrix Calculator v.5.3
Free Matrix Calculator is a practical math tool to calculate matrice. The complex number support for Polar format. Complex and Polar format can be changed easily. Youll get the results of matrix calculation, such as Matrix inverse, Matrix rank,
IT++ v.4.2.0
IT++ is a C++ library of mathematical, signal processing and communication routines IT++ is a C++ library of mathematical, signal processing and communication classes and functions.
NMath Premium v.5.3
Vector, matrix, linear programming, minimization, sparse matrix, random numbers, factorization, decomposition. GPU computing.