Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM and XML Web service Applications. Delphi 3-8 & 2005 are supported

Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM and XML Web service Applications.

Add refined procedures for solving uni and multi dimensional, local or global optimization problems to your .NET and COM Applications. Specialized Linear programming algorithm based on the Simplex Algorithm and duality, included.

Freeware for fast development and application of regression type networks including the multilayer perceptron, functional link net, piecewise linear network, self organizing map and K-Means. Extensive help. C source code for applying trained nets.

Add refined procedures for solving uni and multi dimensional, local or global optimization problems to your .NET, COM, and XML Web service Applications. Specialized Linear programming algorithm based on the Simplex Algorithm and duality, included.

A High Performance Math Parser. The Acid Library is the ideal component for large mathematical computations. Features include basic mathematics, brackets, advanced functions and constants.

This Java class library offers refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable.

NeuroSolutions is a highly graphical neural network development tool for Windows. It is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.

Source code for fast training of multilayer perceptron classifier. Data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. For winzip password: http://www-ee.uta.edu/eeweb/ip/Software.htm.

Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression