NMath Analysis
by CenterSpace Software - Product Type: Component / .NET Class
NMath Analysis is available as part of NMath Suite and NMath.
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Statistical optimization library for .NET applications. NMath Analysis is an optimization library for the .NET platform. NMath Analysis product features include math classes for minimizing univariate functions using golden section search and Brentts method, minimizing multivariate functions using the downhill simplex method, Powellls direction set method, the conjugate gradient method, and the variable metric (or quasi-Newton) method and more. The purchased library includes, user documentation, reference API documentation and code examples in C# and VB.NET. NMath products have no deployment, server or runtime fees. NMath Analysis requires NMath Core.
What's new in NMath Analysis V2.0?
- Nonlinear least squares minimization using the Trust-Region method, a variant of the Levenberg-Marquardt method
- Curve and surface fitting by nonlinear least squares
NMath Analysis contains classes for function minimization, root-finding, and linear programming.
NMath Analysis Product features include:
- Classes for minimizing univariate functions using golden section search and Brent's method.
- Classes for minimizing multivariate functions using the downhill simplex method, Powell's direction set method, the conjugate gradient method, and the variable metric (or quasi-Newton) method.
- Simulated annealing.
- Linear programming using the simplex method.
- Least squares polynomial fitting.
- Classes for finding roots of univariate functions using the secant method, Ridders' method, and the Newton-Raphson method.
- Numerical methods for double integration of functions of two variables.
NMath Analysis requires NMath Core.
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