"I've been developing numerical scientific software for fifteen years. I typically write custom-tailored numerical codes, and I've regularly used IMSL, ESSL, Numerical Recipes and Matlab. The development environment of NMath with C# is by far the most elegant, flexible, and amenable to reuse that I've ever encountered. The more I worry about good object-oriented design, the more I like NMath. It is my preferred platform for day-to-day numerical work."

John Lee
Washington University
School of Medicine

The NMath^TM product suite from CenterSpace Software provides numerical components for mathematical, financial, engineering, and scientific applications on the .NET platform:

	NMath Core The foundational 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.
	NMath Matrix NMath Matrix is an advanced matrix manipulation library that extends the general matrix classes of NMath Core to include structured sparse matrix classes and factorizations, general matrix decompositions, and advanced least squares solutions.
	NMath Stats   NMath Stats provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, and multivariate statistics.
	NMath Analysis New! NMath Analysis is an advanced function manipulation library that extends the general analysis classes of NMath Core to include function minimization, root-finding, and linear programming.

Fully compliant with the Microsoft Common Language Specification, all NMath routines are callable from any .NET language, including C# and Visual Basic.NET.

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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