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Category:
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Author: CenterSpace Software | Published: Sep 16, 2008
License: Demo | O/S: Windows/NT/2000/XP
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Uninstaller: no
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NMath Core contains foundational classes for object-oriented numerics on the .NET platform. Product features include: Single- and double-precision complex number classes; full-featured vector and matrix classes for single- and double-precision floating point numbers and single- and double-precision complex numbers; flexible indexing using slices and ranges; cubic spline interpolation; extension of standard mathematical functions, such as Cos(), Sqrt(), and Exp(), to work with vectors, matrices, and complex number classes; LU factorization for a matrix, as well as functions for solving linear systems, computing determinants, inverses, and condition numbers; least squares solutions; random number generation from various probability distributions, including the uniform, normal, Poisson, gamma, binomial, exponential, Pareto, and log normal distributions; classes for encapsulating functions of one variable, with support for numerical integration (Romberg and Gauss-Kronrod methods), differentiation (Ridders' method), and algebraic manipulation of functions; polynomial encapsulation, interpolation, and exact differentiation and integration. 30-day evaluation available.
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File Size: 9.6 MB
Price: $495.00
Downloads: 0
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NMath Core also mentioned on ShareMe |
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NMath Analysis Details - Programming/Components & Libraries
... 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 Brentls 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, simulated annealing, linear programming using the simplex method, least squares polynomial fitting, ...
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NMath Stats Details - Programming/Components & Libraries
... NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal (Gaussian), Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log ...
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