CodeCentral Submissions for Trevor Misfeldthttp://codecentral.embarcadero.com/Generated by Atom.NET2020-05-29T14:16:14-07:00NMath Analysis 1.1Trevor Misfeldthttp://codecentral.embarcadero.com/Item/234452007-08-08T21:16:30-07:002007-08-08T21:16:30-07:00NMath Analysis library for the .NET platform contains classes for minimizing functions, simulated annealing, linear programming, least squares polynomial fitting, root-finding, and numerical methods for double integration. Eval version available.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.NMath Stats 2.2Trevor Misfeldthttp://codecentral.embarcadero.com/Item/212312007-08-08T21:15:20-07:002007-08-08T21:15:20-07:00Probability distributions, combinatorial functions, descriptive statistics, multi-type data table, multiple linear regression, hypothesis tests and analysis of variance (ANOVA) for the .NET platform.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 factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA); Partial least squares (PLS) with cross validation and the NIPALS and SIMPLS algorithms; Non-negative matrix factorization (NNMF); Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis. If you are interested in evaluating NMath Stats, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period. Purchased product includes source code, user documentation, help files and examples.NMath Matrix 2.2Trevor Misfeldthttp://codecentral.embarcadero.com/Item/203202007-08-08T21:04:59-07:002007-08-08T21:04:59-07:00Advanced matrix manipulation library with structured sparse matrices and factorizations, general matrix decompositions, advanced least squares solutions, and solutions to eigenvalue problems.NMath Matrix is an advanced matrix manipulation library that extends NMath Core to include structured sparse matrix classes (triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded), factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), advanced least squares classes (Cholesky, QR, and SVD), and solutions to symmetric, Hermitian, and nonsymmetric eigenvalue problems. Fully compliant with the Microsoft Common Language Specification, all NMath routines are callable from any .NET language, including C# and Visual Basic.NET. For most computations, NMath libraries use proven, highly optimized versions of public domain linear algebra subroutine libraries, such as the BLAS and LAPACK. This gives NMath routines accuracy you can trust, and performance levels comparable to C or Fortran, combined with state of the art, object-oriented interfaces that leverage the full power of the .NET platform. If you are interested in evaluating NMath Matrix, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period.NMath Core 2.3Trevor Misfeldthttp://codecentral.embarcadero.com/Item/203192007-08-08T21:02:08-07:002007-08-08T21:02:08-07:00Vector, matrix, complex numbers, random numbers, integration, cubic splines and high-performance functions for object-oriented .NET numerics. Interfaces to the BLAS and LAPACK.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. If you are interested in evaluating NMath Core, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period.