• Camino

  • Referenced in 20 articles [sw15543]
  • cutting-edge techniques, such as Monte-Carlo diffusion simulation, multi-fibre and HARDI reconstruction techniques...
  • Chaospy

  • Referenced in 12 articles [sw31225]
  • quantification via polynomial chaos expansions and Monte Carlo simulation. The paper compares Chaospy to similar...
  • DAC

  • Referenced in 11 articles [sw21765]
  • implementation of the Direct Simulation Monte Carlo (DSMC) method of Bird for simulating three-dimensional...
  • SHERPA

  • Referenced in 39 articles [sw09541]
  • Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions...
  • GSHMC

  • Referenced in 16 articles [sw02631]
  • efficient method for molecular simulation. The hybrid Monte Carlo (HMC) method is a popular ... completely resamples the momentum after each Monte Carlo step, the generalized hybrid Monte Carlo (GHMC ... Otherwise an undesirable Zitterbewegung in the Monte Carlo samples is observed. In this paper ... Monte Carlo (GSHMC) method is applicable to NVT as well as NPT ensemble simulations...
  • DREAM

  • Referenced in 9 articles [sw24746]
  • Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation ... basic theory of Markov chain Monte Carlo (MCMC) simulation and introduce a MATLAB toolbox...
  • EnsembleQN

  • Referenced in 9 articles [sw23336]
  • Ensemble preconditioning for Markov chain Monte Carlo simulation. We describe parallel Markov chain Monte Carlo...
  • trng

  • Referenced in 10 articles [sw07529]
  • generator library for sequential and parallel Monte Carlo simulations. Its design principles are based...
  • QuEST

  • Referenced in 10 articles [sw38788]
  • numerical inversion via a nonlinear optimizer. Monte Carlo simulations document the effectiveness of the code...
  • COSSAN

  • Referenced in 9 articles [sw16555]
  • analysis, reliability based optimization, random vibration, Monte Carlo simulation and FE-analysis. The Third Party ... stochastic analyses using methods based on Monte Carlo procedures...
  • MCSim

  • Referenced in 9 articles [sw23161]
  • MCSim: A Monte Carlo Simulation Program. MCSim consists of two pieces, a model generator ... created to facilitate the model maintenance and simulation definition, while keeping execution time fast. Other ... performing time and computer intensive Monte Carlo analysis. MCSim was created specifically to this...
  • Mcmcpack

  • Referenced in 62 articles [sw07974]
  • Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference using posterior simulation...
  • lgcp

  • Referenced in 15 articles [sw22045]
  • these models is Markov chain Monte Carlo and the new package, lgcp, therefore also provides ... model, specifying output and simulation quantities, computation of Monte Carlo expectations, post-processing and simulation...
  • CARBayes

  • Referenced in 14 articles [sw15288]
  • Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial...
  • SoftPOSIT

  • Referenced in 8 articles [sw28187]
  • algorithm is extensively evaluated in Monte Carlo simulations on synthetic data under a variety...
  • SPARTA

  • Referenced in 6 articles [sw29060]
  • SPARTA direct simulation Monte Carlo (DSMC) simulator. SPARTA is a parallel DSMC code for performing...
  • Catfish

  • Referenced in 11 articles [sw00109]
  • black Holes) is a Fortran Monte Carlo program to simulate TeV black hole production ... studies of observational signatures have used Monte Carlo generators implementing the semiclassical picture outlined above ... called CATFISH, interfaces to the PYTHIA Monte Carlo fragmentation code. Generators with similar characteristics ... CATFISH have already been successfully utilized to simulate black hole production in ultrahigh-energy cosmic...
  • MCFDR

  • Referenced in 7 articles [sw11180]
  • analyses is ever increasing. Often, complex Monte Carlo simulation is required, sometimes within a large ... false discovery rate (FDR) modulated sequential Monte Carlo (MC) multiple hypothesis testing. The algorithm iterates ... hypotheses. We show on both real and simulated data that the proposed algorithm provides large...
  • Janus

  • Referenced in 7 articles [sw11793]
  • focus on its use for Monte Carlo simulations of statistical mechanics, as Janus performs impressively...
  • xtscc

  • Referenced in 7 articles [sw37339]
  • standard errors. By running Monte Carlo simulations, I compare the finite-sample properties...