The Weibull distribution is widely used in reliability analysis, hazard analysis, for modeling part failure rates and in many other applications. The NMath library currently includes 19 probably distributions and has recently added a fitting function to the Weibull distribution class at the request of a customer. The Weibull probability distribution, over the random variable […]
In December, CenterSpace Software rolled out a major new release of NMath, version 7.0, built on the .NET Standard Library 2.0. The focus of this release has been to support the .NET Standard library, to further improve the ease of use of the NMath library, and to unify all CenterSpace libraries into one. CenterSpace now […]
CenterSpace will be adding support for both .NET Core and .NET Standard to NMath by the end of 2018. NMath has also dropped support of both the OSX and Linux86 operating systems in NMath release 6.2.0.41.
In this final entry of our three part series on Principle Component Regression (PCR) we described the NIPALS algorithm used to compute the principle components. This is followed by a theoretical discussion of why the NIPALS algorithm works that is accessible to non-experts.
Our partner, Scientific Research Software, has released a new product on top of the NMath libraries. NMath ANALYTICS allows users to use symbolic expressions for functions and then visualize resulting fits. Please check them out. – Trevor
Centerspace Software is pleased to announce new versions of the NMath libraries – NMath 6.2, and NMath Stats 4.2.
Wavelet transforms have found engineering applications in computer vision, pattern recognition, signal filtering and perhaps most widely in signal and image compression. In 2000 the ISO JPEG committee proposed a new
JPEG2000 image compression standard that is based on the wavelet transform using two Daubechies wavelets. This standard made the relatively new image decomposition algorithm ubiquitous on desktop around the world.
Run-to-run reproducibility in computing is often assumed as an obvious truth. However software running on modern computer architectures, among many other processes, particularly when coupled with advanced performance-optimized libraries, is often only guaranteed to produce reproducible results only up to a certain precision; beyond that results can and do vary run-to-run.