Search Results for "monte carlo simulator" - Page 4

PyKMC is a work in progress on-the-fly kinetic Monte Carlo package. It currently allows for automatic defect-decomposition, lattice minimisation, NEB and String saddle point calculations and RAT transition searches - using LAMMPS or LBOMD.

A software called Activity Predictor is developed using Java TM programming language. The Activity Predictor calculates activities, exposure rates and gamma spectra of activated samples for NAA experiments. The calculation procedure for predictions involve both analytical and Monte Carlo methods. The Activity Predictor software is validated by a series of activation experiments. It has been found that this software calculates the activities and exposure rates precisely. The software also...

This is a small R package for doing Weibull-based reliability analysis. This R package is now obsolete and has been superseded by 'project Abernethy' on http://r-forge.r-project.org/projects/abernethy/.

...: Synthesis-Decompostion Reaction Chain Reaction Nuclear Chemical Reaction Lodka Model Brusselator Model Furthermore, the Stochastic approach can be computed by several stochastic simulation algorithms. The DetStoch package offers four stochastic algorithms that use probability functions simulated via Monte Carlo methods: Gillespie's Direct Method, Gillespie's First Reaction Method, Bruck and Gibson Next Reaction Method and Tau-Leaping Method.

1/ WCA interprets a file containing the definitions of variables and expressions to be analysed, computes the worst case analysis, and prints the results. 2/ WCADB extends MathCAD to perform Monte-Carlo W.C.A. based on drifts taken from an external database.

The purpose of the project is summarising effort from a number of analytic libraries, adding interactive web-based user interface and making a free open source solution for risk analytics and stress testing. Feb 8, 2012 Paul Glasserman's Importance Sampling and Tail Approximations as well as plain Monte Carlo have been implemented for for the widely used normal copula model of portfolio credit risk. The package includes source code, examples, spreadsheet with results and references...

Play battleship! AI algorithm is either monte carlo or completely random.

Simulate the optical reflectance from an infinite turbid medium under an ideal oblique incidence optical source. Two versions are implemented: CPU and GPU. They both generate statistically the same results but GPU version works much faster.

RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.

[PROJECT MIGRATED TO GIT-HUB] OptLib is a library of nonlinear optimization routines focused on the use of stochastic methods, including Simulated Annealing, Genetic Algorithms, and Monte Carlo. Routines are parallelized using MPI.

Diffusion Monte Carlo

SMMP (Simple Molecular Mechanics for Proteins) is a program library for protein simulations with an emphasis on advanced Monte Carlo algorithms. It includes various force fields to calculate the energy of a protein and protein-protein interactions.

Tina's Random Number Generator Library (TRNG) is a state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations.

Java library for Monte Carlo simulation, stochastic processes, finance. Classes define the basic mathematical notions to ease transition from theory to application.

The UMS project provides an Microsoft Excel Add-in that allows for simple Monte Carlo simulation. It offers functions for drawing from various well-known probability distributions (Normal, Exponential etc).

MonteCarlo portfolio simulation - it can be used as stand-alone command line application - it takes simple XML file needed data as entry and creates simple XML file with output, also this stuff have JNI and ISAPI interface.

Portfolio Optimizer Software. Automatically calculates the best asset combination for a given portfolio, expected return, risk and Sharpe ratio. Performs Monte Carlo simulation of thousands of different portfolios.

The aim of our project is to develop a simulation system to calculate the measurement uncertainty corresponding to the 'Guide To The Expression Of Uncertainty In Measurement' (GUM).

A similarity-free approach to compare the diversity of environmental viral communities

3 player Texas Hold'em artificial playing agent using a monte carlo simulation algorithm with dynamic opponent modelling.

Monte Carlo simulation of pair production and inverse Compton scattering on photons from the extragalactic background light including deflections in extragalactic magnetic fields and weighted sampling of secondaries.

Matlab toolbox for Markov Chain Monte Carlo. Includes interfaces for storing and retrieving trace and run information.

MCS is a tool that exploits the Monte Carlo method and, with a complex algorithm based on the PERT (Program Evaluation and Review Technique), it estimates a project's time. MCS is a opensource project and it was devolped by Java Programming Language.

ACRASH is an open implementation of the CRASH Monte-Carlo continuum radiative transfer scheme presented in Ciardi et al. 2001 and Maselli et al. 2003. This code solves the radiative transfer equation for any geometry in 3D using a Monte-Carlo scheme.

Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.