NMath Analysis optimization library for the .NET platform contains classes for minimizing univariate and multivariate functions, simulated annealing, linear programming using the simplex method, least squares polynomial fitting, finding roots of univariate functions and numerical methods for the double integration of functions of two variables. Evaluation version available. No deployment, server or runtime fees. Source code included.
Publisher description
NMath Analysis contains classes for function minimization, root-finding, and linear programming. Product features include classes for minimizing univariate functions using golden section search and Brent’s method, 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, 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. If you are interested in evaluating NMath Analysis, we offer a free trial version, distributed in binary form only for a 30-day evaluation period. Orders may be placed through our secure online store. Our sales staff is available to help you with any questions that you may have about our products. Please also see our list of frequently asked questions. Purchased library includes source code, user documentation, reference API documentation and code examples in C# and VB.NET. NMath products have no deployment, server or runtime fees.
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