NMath Stats

Announcing NMath 6.2 and NMath Stats 4.2

Posted on by Ken Baldwin
We're pleased to announce new versions of the NMath libraries - NMath 6.2 and NMath Stats 4.2. Added functionality includes: Upgraded to Intel MKL 11.3 Update 2 with resulting performance increases. Updated NMath Premium GPU code to CUDA 7.5. Added classes for performing Discrete Wavelet Transforms (DWTs) using most common wavelet families, including Harr, Daubechies, Symlet, Best Local...
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Announcing NMath 6.1 and NMath Stats 4.1

Posted on by Ken Baldwin
We're pleased to announce new versions of the NMath libraries - NMath 6.1, and NMath Stats 4.1. Added functionality includes: Upgraded to Intel MKL 11.2 Update 2 with resulting performance increases. Updated NMath Premium GPU code to CUDA 6. Added classes for solving linear and nonlinear programming problems with integer or binary constraints. Added class SpecialFunctions containing s...
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Announcing NMath 6.0 and NMath Stats 4.0

Posted on by Ken Baldwin
We're pleased to announce new versions of the NMath libraries - NMath 6.0, and NMath Stats 4.0. Added functionality includes: Upgraded to Intel MKL 11.1 Update 3 with resulting performance increases. Added Adaptive Bridge™ technology to NMath Premium edition, with support for multiple GPUs, per-thread control for binding threads to GPUs, and automatic performance tuning of individu...
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Announcing NMath 5.3 and NMath Stats 3.6

Posted on by Ken Baldwin
CenterSpace is proud to announce the immediate availability of new versions of our .NET math libraries, NMath 5.3 and NMath Stats 3.6. This release adds many new features and performance enhancements. Version 5.3 of NMath adds: IEnumerable<T> support for matrix classes, facilitating their use with LINQ. An in-place solve option for LU factorization. Improved support for NMath conf...
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NMath 5.3, NMath Stats 3.6 are coming

Posted on by Trevor Misfeldt
NMath 5.3 and NMath Stats 3.6 are nearing release!  Here are a few of the things that you can look forward to in the new releases: IEnumerable<T> support for matrix classes, facilitating their use with LINQ. An in-place solve option for LU factorization. Improved support for NMath configuration within ASP.NET web applications. Matrix and vector visualizers for debugging in ...
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