The NMathTM .NET math libraries from CenterSpace Software provides numerical components for
mathematical, financial, engineering, and scientific applications on the .NET platform:
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NMath Core
[Latest Version 2.6, Released April 2009 - Changelog]
The foundational .NET math library in the NMath suite, NMath Core includes
general vector and matrix classes, complex number classes, random number
generators, and numerical integration and differentiation methods.
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NMath Matrix
[Latest Version 3.0, Released April 2009 - Changelog]
NMath Matrix is an advanced .NET matrix manipulation library that extends the general matrix classes of NMath Core to include structured sparse matrix
classes and factorizations, general sparse matrix classes and factorizations, general matrix
decompositions, and advanced least squares solutions.
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NMath Stats
[Latest Version 3.0, Released April 2009 - Changelog]
NMath Stats is a .NET statistics library that provides functions for statistical computation and biostatistics,
including descriptive statistics, probability distributions, combinatorial functions,
multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics,
partial least squares, and nonnegative matrix factorization.
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NMath Analysis
[Latest Version 2.0, Released April 2009 - Changelog]
NMath Analysis is an advanced .NET function manipulation library that extends
the general analysis classes of NMath Core to include function minimization,
curve fitting, root-finding, and linear programming.
Fully compliant with the Microsoft Common Language Specification,
all
NMath routines are callable from any .NET language, including C#,
Visual Basic.NET, and F#.
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For many computations, NMath libraries use proven, highly optimized
versions of public domain linear algebra subroutine libraries, such as the BLAS
(Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage).
This gives NMath routines accuracy you can trust, and performance levels comparable
to C or Fortran. Our state of the art, object-oriented interfaces are easy to use and leverage
the full power of the .NET platform.
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