Author: Ken Baldwin

Announcing NMath 6.2 and NMath Stats 4.2

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

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

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 individual CPU–...
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Customer Story: Evolutionary Robotics Using NMath

We recently heard from NMath user Jaroslav Moravec of the Czech Technical University in Prague, the author of RobomapStudio, a smart tool designed to process data in the field of autonomous robotics and artificial intelligence. The program consists of more than 50 components for solving problems such as continual robot localization, global robot localization, and Simultaneous Localization and Mapp...
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Announcing NMath 5.3 and NMath Stats 3.6

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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