Search Results for "gnu linux" - Page 4

This project is goaled a r-language wrap of Artificial Neural Network library libfann. also known as R-binding libfann

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

OpenPSA is open source software for Probabilistic Risk Assessment . The project is under development. If you are interested to support this project, please contact the team

Calculates how much time and money you need to win in the lottery. It uses multiple gthreads and gtk2 to sort 1 to 50 numbers until the user wins. Asking for the cost and time beetwin games, it calculates if you or your grandchildren will be rich.

Math.NET aims to provide a self contained clean framework for symbolic mathematical (Computer Algebra System) and numerical/scientific computations, including a parser and support for linear algebra, complex differential analysis, system solving and more

A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and...

Classic Texas Hold'Em Poker game in python.

The CRISP package here developed utilizes an algorithm that describes a many-body intranuclear cascade (INC) and evaporation/fission/multifragmentation competition process.

An easy, small and handy math calculator for Unix/Linux systems. It can calculate easy and complex mathematical expressions passed as command line arguments.

Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way. The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results. Why? Because time after time, people come to me with some test that they've...