Search Results for "monte carlo simulation"

MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.

...Anyone who wants to learn statistics will find that the resampling approach helps in understanding statistical concepts from the simplest to the most difficult. In addition, professionals who want to use resampling, bootstrapping, or Monte Carlo simulations will find Statistics101 helpful. More information at https://statistics101.sourceforge.io/

...The code includes built-in fitting procedures with a wide variety of constraints; stochastic SR energy loss; the tracking of synchrotron radiation (SR) Poynting vector; space charge models; various Monte Carlo procedures, etc. Contact: francoisgmeot@gmail.com Documentation (History of accelerators that zgoubi deals with, theory, tutorials): https://link.springer.com/book/10.1007/978-3-031-59979-8 https://link.springer.com/book/10.1007/978-3-031-16715-7, Chap. 14.

Blueprint XAS is a Matlab-based suite designed for the processing and analysis of near-edge x-ray absorption spectroscopy (XAS) data. The suite is designed primarily to assist users in exploring reasonable fit solutions while minimizing user bias.

The Orbit Determination Toolbox (ODTBX) is developed by the Navigation & Mission Design branch at NASA Goddard Space Flight Center as an advanced mission simulation and analysis tool used for concept exploration, proposal, early design phase, and/or rapid design center environments. ODTBX functions and utilities are combined in a flexible architecture that allows for modular development of navigation algorithms and simulations. The core ODTBX functionality is realized through a set of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level.

Programmer's library for random numbers. Also random number generator testing code. Intended for simulation, games and "Monte-Carlo" algorithms.

Open Source Monte Carlo Simulation platform for particle level simulation of light scattering from generated paper structures

Photonics is a photon tracking Monte Carlo package, which calculates photon flux and time distributions in a heterogeneous medium surrounding a light source. The propagation medium and detector and light sources are highly customizable.

SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package includes basic stochastic simulation algorithms. ...

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.

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).

FAUNUS is an object oriented class library for molecular simulation, written in C++. It contains routines and utility programs for, Metropolis Monte Carlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.

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.

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.

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.

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.

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 Monte Carlo simulator.

QMcBeaver is an object-oriented program to perform Quantum Monte Carlo 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 Monte Carlo. It is designed in a modular way to facilitate easy addition of new algorithms.

...Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo 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 Monte Carlo 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.

dmcut2 is a scientific program designed to simulate chemical reactions at surfaces using Metropolis and Monte-Carlo methods. Short ranged interactions between adsorbates may be taken into account. Emphasis was put on code readability and usability.

Two Markov-Chain-Monte-Carlo-algorithms ("Glauber Dynamics" and "Flip Dynamics") used for randomly sampling k-colorings of a graph.