NMath

Non-linear Curve Fitting

Posted on by Paul Shirkey
SIGA, a public biotechnology company, recently hired CenterSpace consultants to refine their logistic modeling capabilities. Modeling a dose-response system with a logistic curve is one important special case of the more general non-linear curve fitting problem. If you are familiar with linear regression and related statistics, the non-linear case closely parallels the linear case making the jump ...
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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'...
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Using NMath in .NET 4.0 Applications

Posted on by Ken Baldwin
Version 4.0 of the .NET Framework introduced a new runtime activation policy, which enables an application to activate multiple versions of the common language runtime (CLR) in the same process. (See here for more information.) Because of this support for side-by-side runtimes, .NET 4.0 has changed the way that it binds to older mixed-mode assemblies, such as the NMath Kernel assembly, which i...
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Power Spectral Density with NMath

Posted on by Paul Shirkey
Application Note Computing the Power Spectrum in C# We've had several customers ask about computing the PSD in C# with NMath, so I thought it was time for a post on the subject. The power spectral density provides an estimate of the power present within each slice of spectrum, and is presented as graph of the signal power versus frequency. It's a common signal processing calculation across many fi...
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Complex numbers in .NET with NMath

Posted on by Paul Shirkey
A set of classes for working with complex numbers is not including in the .NET framework. These classes are frequently hand rolled by programmers to fill an immediate need, but this forces the developer into an on-going task developing compatible numeric algorithms with these custom classes. CenterSpace's NMath libraries solve this issue by providing a framework with an extensive set of numeric ...
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