Author: Ken Baldwin

Quasirandom Points

Posted on by Ken Baldwin
A quasirandom sequence is a set of n-tuples that fills n-space more uniformly than uncorrelated random points. NMath provides both Sobol and Niederreiter quasirandom number generators for .NET applications. For example, this C# code creates a Niederreiter quasirandom number generator object to generate quasirandom vectors of length 2: int dim = 2; NiederreiterQuasiRandomGenerator nqrg = ne...
Read More

New Versions of NMath Libraries Released

Posted on by Ken Baldwin
CenterSpace is proud to announce the immediate availability of new versions of our .NET math libraries, NMath 5.0 and NMath Stats 3.3. This release adds many new features and performance enhancements. Version 5.0 of NMath adds: A new set of random number generator classes based on MKL vectorized random number generators Classes for creating independent streams of random numbers using the ...
Read More

Slices and Ranges in NMath Matrices

Posted on by Ken Baldwin
NMath employs the data-view design pattern by distinguishing between data, and the different ways mathematical objects such as vectors and matrices view the data. For example, a contiguous array of numbers in memory might be viewed by one object as the elements of a vector, while another object might view the same data as the elements of a matrix, laid out row by row. Many different objects might ...
Read More

New Versions of NMath Libraries Released

Posted on by Ken Baldwin
CenterSpace is proud to announce the immediate availability of NMath 4.1 and NMath Stats 3.2. As described in an earlier post, this release adds many new features and performance enhancements. Version 4.1 of NMath adds peak finding and Savitzky-Golay derivatives, a Runge-Kutta ODE solver, the Box-Cox transformation for making non-normal data resemble normally-distributed data, and faster vector...
Read More

Excel Trendlines

Posted on by Ken Baldwin
We are sometimes asked how to reproduce the various Excel Trendline types in NMath, including printing out the form of the equation and the R2 value (coefficient of determination). Excel offers these trend types: Linear Trendline Logarithmic Trendline Exponential Trendline Power Trendline Polynomial Trendline Moving Average Trendline These can all be easily computed using NMath. Let'...
Read More
Top