Centerspace Software is pleased to announce new versions of the NMath libraries – NMath 6.0, and NMath Stats 4.0. [...]
Announcing NMath 6.0 and NMath Stats 4.0
CenterSpace on the Road
On June 5th CenterSpace presented a two hour lecture and tutorial at the University of Chicago's, "Recent Developments in Parallel Computing in Finance" conference. Upcoming on July 10th, CenterSpace's technology evangelist, Andy Gray, will be giving a talk at the NIVIDA "GPU Technology Conference Workshop S.E. Asia 2014". [Read more ... ]
Evolutionary Robotics and NMath
NMath was used in a computationally heavy evolutionary robotics research project at the Czech Technical University in Prague. The resulting work from this multi-year project has been recently published in prestigious journal of "Applied Artifical Intelligence". (Applied Artificial Intelligence, Taylor & Francis Eds., see DOI: 10.1080/08839514.2014.875684, vol. 28, no. 4, 2014) Read more [...]
Porting Excel to .NET Made Easier
Optimal Portfolio Allocation
The problem of optimal portfolio allocation, in its simplest form, asks the question of how to allocate a given amount of wealth across a fixed universe of investments to achieve a minimum-risk goal-expected return. The known quantities are the potential field of investments, their performance history, and the goal rate of return; The unknown is the wealth allocation across the investments. [...]
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.
The Premium Editions of NMath and NMath Stats leverage the power of NVIDIA’s CUDA™ architecture for GPU-accelerated mathematics in .NET. CenterSpace has partnered with leading GPU computing experts to bring GPU-accelerated mathematics to the .NET platform for the first time.
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
- 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#.