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Photonics is a photon tracking MonteCarlo 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.
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData.
Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing...
VarData) manipulate a structure of points connected by links.
Addraw) openGL engine.
ElPoly) analyze mechanical properties of polymer and membrane like structures.
Addyn) perform molecular dynamics and MonteCarlo simulations and has a solver for 4th oder PDE.
Avvis) perform all...
Free C++ toolkit to facilitate Monte-Carlo simulation. This is a library covered under the LGPL. "MCS-libre" stands for "MonteCarlo Simulation - libre". Documentation and examples are provided.
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mean first passage times and node occupancies calculations
RaTrav tool was designed to support computational biology studies where mean first-passage times (MFPTs) between initial and single or multiple final states in network-like systems are used. The tool approves arbitrary networks (graphs) where a dynamics of the Markovian type takes place. Two methods are made available for which their efficiency is strongly dependent on the topology of the defined network: the combinatorial Hill technique and the MonteCarlo simulation method.
References:
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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.
clupan is a tool for performing the cluster expansion and several MonteCarlo simulations in multicomponent alloys. clupan can be used for predicting ground state structures and evaluating phase diagrams on the basis of results of DFT calculations.
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 MonteCarlo 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...
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.
Using Dialogflow, you can provide new and engaging ways for users to interact with your product.
Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
[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 MonteCarlo. Routines are parallelized using MPI.
Tina's Random Number Generator Library (TRNG) is a state of the art C++ pseudo-random number generator library for sequential and parallel MonteCarlo simulations.
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.
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 MonteCarlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.
Galileo is an open source photo-realistic 3D renderer. Galileo is being developed in an effort to provide an efficient, state of the art, montecarlo renderer for use in research and artistic endeavors.
gkbench is a benchmark application using a multithreaded version of MonteCarlo method to estimate the value of pi. The program can be used to test the performance of modern hyper-threaded/ multi-core systems.
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.
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.
This program can be used to simulate the thermodynamics of magnetic materials with "classical" spins. It does this using the Metropolis MonteCarlo method. Arbitrary lattices and a number of magnetic interactions can be modelled.
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.