Achieve Stochastic

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run... Platforms: Matlab

Test::Stochastic is a Perl module to check probabilities of randomized methods. SYNOPSIS use Test::Stochastic qw(stochastic_ok); stochastic_ok sub { ...random sub...}, {a => 0.4, b => 0.6}; stochastic_ok {a => 0.4, b => 0.6}, sub { ...random sub...}; Test::Stochastic::setup(times => 100,... Platforms: *nix

This introductory-level text is suited for a junior or senior level undergraduate course on stochastic models.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1585.jsp. Platforms: Matlab

This code provides a tool to identify a state space model from stochastic signals using a subspace approach.The code is implemented in two steps using a nested function. The first step returns a vector of subspace singular values, from which a user can determine an appropriate order for the state... Platforms: Matlab

Free Expert Advisor 3-Stochastic. Fully automated trading system - Metatrader Expert Advisor. Platforms: Windows

Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Platforms: Mac, BSD, Linux

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and... Platforms: Matlab

Long Range ZIP is a compression program that can achieve very high compression ratios and speed when used with large files. It uses the combined compression algorithms of lzma for maximum compression, lzo for maximum speed, and the long range redundancy reduction of rzip. It is designed to... Platforms: *nix

Inner Peace project is a self-help chatterbot to help you achieve more inner peace. Inner Peace helps you let go of the issues that interfere with your inner peace and replace them with states that support your inner peace. Inner Peace runs on any platform with a Javascript 1.1 browser, such... Platforms: *nix

IOSEMU is a Cisco 7200 emulator that uses JIT to achieve good performance. The project is able to boot real Cisco IOS images. At this time, the emulator I have programmed is able to boot a large number of Cisco IOS releases available for the 7200 platform, including the latest 12.2S and 12.4.... Platforms: *nix

Petri Net Editor is a small, easy to use, Java based application specially designed to offer users an editor for stochastic Petri-nets. This tool is designed to also allow you to create reachability trees and Markov graphs, simulate and gather statistics on simulation. for WindowsAll Platforms: Windows

StochPy (Stochastic modelling in Python) is an easy-to-use package, which provides several stochastic simulation algorithms (SSAs), which can be used to simulate biochemical systems in a stochastic manner. Further, several unique and easy-to-use analysis techniques are provided by StochPy.... Platforms: Windows

StochPy (Stochastic modelling in Python) is an easy-to-use package, which provides several stochastic simulation algorithms (SSAs), which can be used to simulate biochemical systems in a stochastic manner. Further, several unique and easy-to-use analysis techniques are provided by StochPy.... Platforms: Mac

StochPy (Stochastic modelling in Python) is an easy-to-use package, which provides several stochastic simulation algorithms (SSAs), which can be used to simulate biochemical systems in a stochastic manner. Further, several unique and easy-to-use analysis techniques are provided by StochPy.... Platforms: Linux

SSRLSWAM is a combination of SSRLS and stochastic gradient method .It exploits the concept of forgetting factor d?T¬ that may be required due to model uncertainty, presence of unknown external disturbances, time-varying nature of observed signal or Non-stationary behaviour of observation noise. Platforms: Matlab

This code calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) from the scaling of the renormalized q-moments of the distribution/ ~ r^[qH(q)]The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian... Platforms: Matlab

Multi-Knapsack solver by two stochastic solvers : i) by Cross-Entropy Method and ii) by Botev-Kroese Method for the following problemmax S(X)=(p^{t}X) st. WX Platforms: Matlab

It is desired for modern process systems to achieve optimal operation. However, operation at a pre-designed nominally optimal point may not necessarily be actually optimal due to realtime disturbances, measurement and control errors and uncertainties. Self-optimizing control aims to tackle this... Platforms: Matlab

This module is deprecated because there are other ways to achieve this functionality with Views.Creates a schedule for an organic group.This module is very good for groups of events. The group must have 2 specific content type:1.) a simple content type for tracks2.) a content type for sessions;... Platforms: PHP

libSDE is a Java library to simulate Stochastic Differential Equations (SDEs). Platforms: Mac