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MonteCarlo analysis is an enhancement to CPM and PERT methods built into MS Project. It enables project manager to run statistical simulation of possible project outcomes based on optimistic, pessimistic and most likely estimates.
Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, MonteCarlo and Quasi-MonteCarlo Methods 2008, Springer Verlag, 2010
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Yans is a extensible, mixed-level, Monte-Carlo Method based, discrete event network simulator. Yans is divided into interacting layers, namely: core, topology, nodes, monitors; and is driven by a config-file that describes the setup of the network.
SEMSIM is designed for single-electron device (SET) and circuit simulation using the MonteCarlo method. It uses adaptive techniques to significantly improve the time efficiency while maintaining accuracy.
Math-fi library written in C++ and boost library. This contains a C++ library with severals financial models (Montecarlo, Binary Tree, Black and Schools formulas) and a managed C++ wrapper that allows end user to use library within Excel.
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The Tomographic Image Reconstruction Interface of the Universite de Sherbrooke (TIRIUS) is a Qt-based user-interface software for reconstructing 3D images from data generated by real apparatus or generated by the GATE MonteCarlosimulator.
QMcBeaver is an object-oriented program to perform Quantum MonteCarlo calculations on atoms and molecules. It is designed to be easy to modify, allowing new ideas to be quickly implemented.
PIMC++ is a code designed to perform fully-correlated simulations of quantum systems in continuous space at finite temperature using Path Integral MonteCarlo.
It is designed in a modular way to facilitate easy addition of new algorithms.
...-parametric MonteCarlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.
TAROT is a easy-to-use framework for MonteCarlo simulations in python. Calculations between different kinds of randomly distributed numbers are made as easy as basic arithmetics. Tarot provides an interactive graphical interface for interpretation.
RL Poker is a study project Java implementation of an e-soft on-policy MonteCarlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
GRAY (High Energy Photon Ray Tracer) is a Monte-Carlo ray-driven high energy photon transport engine for mainly PET and SPECT applications that supports complex mesh based primitives for source distributions, phantom shapes, and detector geometries.
NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain MonteCarlo simulation is used to solve the likelihood function.
Soft for ab initio and MD simulating of water system. Contains program for ICE: construct ice, specific monte-carlo simulation, proton rearrangement calculations; for PDB-water: calculate rotation energy profile, for Effective Fragment simulations.
The RooFit package provides a toolkit for modeling the expected numerical distributions of the results of a scientific experiment. Models created with RooFit can be used for fitting,
visualization, and MonteCarlo studies.
PENGL is a PENGEOM geometry viewer written in C using OpenGL. PENGEOM is the geometry description routine coming with Penelope (MonteCarlo code for simulation of electron, positron and photon transport).
Trelis is a graphical MonteCarlo simulation tool for modeling the time evolution of chemical reaction systems involving small numbers of reactant molecules, such as occur in subcellular biological processes like genetic regulatory networks.