• HypE

  • Referenced in 63 articles [sw19794]
  • proposes a fast search algorithm that uses Monte Carlo simulation to approximate the exact hypervolume ... detail, we present HypE, a hypervolume estimation algorithm for multi-objective optimization, by which...
  • GMRFLib

  • Referenced in 286 articles [sw06641]
  • only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts in the field ... computational aspects, construct fast and reliable algorithms for MCMC inference, and provide an online...
  • MCELL

  • Referenced in 23 articles [sw06121]
  • behavior dominates. MCell uses highly optimized Monte Carlo algorithms to track the stochastic behavior...
  • spBayes

  • Referenced in 330 articles [sw10160]
  • models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon ... lack of available software for such algorithms. Here, we introduce a statistical software package, spBayes...
  • latentnet

  • Referenced in 18 articles [sw10550]
  • models based on an Markov chain Monte Carlo algorithm. It can also compute maximum likelihood...
  • Mplus

  • Referenced in 339 articles [sw06511]
  • wide choice of models, estimators, and algorithms in a program that has an easy ... addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated...
  • PyMC

  • Referenced in 35 articles [sw10482]
  • statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make...
  • SMMP

  • Referenced in 12 articles [sw00882]
  • freedom. The package contains various modern Monte Carlo algorithms and energy minimization routines. The energy...
  • bmds

  • Referenced in 12 articles [sw27804]
  • Bayesian framework. A Markov chain Monte Carlo algorithm is proposed for object configuration, along with...
  • JMbayes

  • Referenced in 12 articles [sw19775]
  • Bayesian approach using Markon chain Monte Carlo algorithms. JMbayes can fit a wide range...
  • Exa-Dune

  • Referenced in 11 articles [sw32962]
  • have developed, implemented and optimised numerical algorithms and software for the scalable solution of partial ... basis multiscale methods and the multilevel Monte-Carlo algorithm. Finally, some of the concepts...
  • Foam

  • Referenced in 9 articles [sw08619]
  • Foam: A general purpose Monte Carlo cellular algorithm. A general-purpose, self-adapting Monte Carlo...
  • AMCMC

  • Referenced in 15 articles [sw01123]
  • performing an adaptive Markov chain Monte Carlo (MCMC) algorithm, specifically adaptive Metropolis-within-Gibbs...
  • T-Rasch

  • Referenced in 9 articles [sw09516]
  • tests for the Rasch model. A Monte Carlo algorithm realizing a family of nonparametric tests...
  • MCINTYRE

  • Referenced in 8 articles [sw22925]
  • successful approximate approach is based on Monte Carlo sampling, that consists in verifying the truth ... paper we propose an approach for Monte Carlo inference that is based on a program ... model. MCINTYRE is compared with the Monte Carlo algorithms of ProbLog and cplint and with ... MCINTYRE is faster than the other Monte Carlo systems...
  • HERWIG 5.1

  • Referenced in 48 articles [sw02160]
  • some important subasymptotic contributions. Solution method: Monte Carlo simulation of a variety of primary collision ... parton shower generation using a coherent branching algorithm and hadron formation using a cluster fragmentation...
  • BGX

  • Referenced in 14 articles [sw06935]
  • novel adaptive Markov chain Monte Carlo (MCMC) algorithm that raises considerably the efficiency with which...
  • MCAMC

  • Referenced in 12 articles [sw02829]
  • MCAMC: an advanced algorithm for kinetic Monte Carlo simulations from magnetization switching to protein folding ... extremely long kinetic Monte Carlo simulations. The MCAMC algorithm does not modify the system dynamics...
  • MultiNest

  • Referenced in 38 articles [sw10481]
  • algorithm presented in Feroz & Hobson, which itself significantly outperformed existing Markov chain Monte Carlo techniques ... accuracy and economy of the MultiNest algorithm are demonstrated by application to two toy problems...
  • PHEGAS

  • Referenced in 30 articles [sw02242]
  • presented. The algorithm has been implemented in a Monte Carlo program, PHEGAS, which, using HELAC...