A customer recently asked how to fit a normal (Gaussian) distribution to a vector of experimental data. Here’s a demonstration of how to do it. [...]
Recent News
April 09, 2012
Distribution Fitting Demo
February 08, 2012
Mono NMath and NMath Stats libraries
Due to popular request, our NMath and NMath Stats libraries are now available for use in developing applications on Mono. The Mono versions include all of the same features as the .NET/Windows libraries, with native code compiled for Linux and Mac OS X. [...]
December 13, 2011
The Importance of Graphing Your Data
In his classic book The Visual Display of Quantitative Information, Edward R. Tufte argued that “graphics can be more precise and revealing than conventional statistical computations”. As an example, he described Anscombe’s Quartet–four datasets that have identical simple statistical properties, yet appear very different when graphed. [...]
NMath .NET Math and Statistics
The NMath .NET math and statistics libraries from CenterSpace Software provides building blocks for financial, engineering, and scientific applications on the Microsoft .NET platform.
Choose NMath. Written by experts, trusted by industry leaders.
Our developers are experts at object-oriented numerics, producing high-performance, rock solid components, with state of the art
object-oriented .NET interfaces. NMath has satisfied customers in over 45 countries around the world,
and is proven in production everyday inside Fortune 500 companies.
Increase your productivity and lower your development costs by using NMath to jumpstart your .NET numerical applications.
Our libraries are extensively tested, and include professional documentation, code examples,
and technical support.
Licensing that works.
We have a simple royalty-free licensing model. Components are licensed per developer seat. There are no
runtime or distribution fees for products developed that make use of NMath libraries.
The numerical tools you need, now and in the future.
NMath features include:
- matrix and vector classes
- random number generators
- Fast Fourier Transforms (FFTs)
- numerical integration
- linear programming
- linear regression
- curve and surface fitting
- optimization
- hypothesis tests
- analysis of variance (ANOVA)
- probability distributions
- principal component analysis
- cluster analysis
NMath is built on the Intel® Math Kernel Library (MKL), which contains highly-optimized, extensively-threaded versions of the public domain computing packages known as the BLAS (Basic Linear Algebra Subroutines) and LAPACK (Linear Algebra PACKage).
All NMath routines are callable from any .NET language, including C#, Visual Basic.NET, and F#.
