• S-TaLiRo

  • Referenced in 17 articles [sw09775]
  • based on stochastic optimization techniques including Monte-Carlo methods and Ant-Colony Optimization. Among...
  • iNA

  • Referenced in 4 articles [sw17973]
  • equivalent. The latter is a Monte-Carlo method, which, despite enjoying broad availability...
  • Exa-Dune

  • Referenced in 11 articles [sw32962]
  • local reduced basis multiscale methods and the multilevel Monte-Carlo algorithm. Finally, some...
  • kerfdr

  • Referenced in 5 articles [sw35302]
  • genome-wide association studies. Conclusion: The proposed method has the practical advantages, over existing approaches ... such as those obtained in Monte-Carlo simulations. This method has been implemented...
  • LatNet Builder

  • Referenced in 1 article [sw32091]
  • quasi Monte-Carlo and randomized quasi Monte-Carlo methods using state-of-the-art techniques...
  • pysim5G

  • Referenced in 1 article [sw33836]
  • deployment. Based on the Monte-Carlo method, the aim is to enable both engineering...
  • mlergm

  • Referenced in 1 article [sw38222]
  • within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods...
  • PySDM

  • Referenced in 1 article [sw37975]
  • implementation of the Super-Droplet Method (SDM) Monte-Carlo algorithm for representing collisional growth, hence...
  • XTVAR

  • Referenced in 0 articles [sw37483]
  • Response Functions. For inference, bootstrap and Monte-Carlo methods are implemented...
  • OpenOrb

  • Referenced in 1 article [sw35493]
  • uses the least-squares method and also contains both Monte-Carlo (MC) and Markov-Chain...
  • AliasFinder

  • Referenced in 1 article [sw31503]
  • quality plots. The original method is coupled with a Monte-Carlo approach to evaluate also...
  • py_dempster_shafer

  • Referenced in 1 article [sw28238]
  • belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related...
  • iMod

  • Referenced in 4 articles [sw35118]
  • physical distortions of classical Cartesian NMA methods. Our proposed framework operates at different coarse-grained ... conformational studies, including standard vibrational analysis, Monte-Carlo simulations or pathway exploration. Examples of these...
  • qasm-tools

  • Referenced in 1 article [sw27652]
  • method; simulate faults in arbitrary quantum gates; estimate depolarizing noise thresholds using monte-carlo simulation...
  • ms2

  • Referenced in 2 articles [sw22573]
  • simulation techniques, molecular dynamics (MD) and Monte-Carlo. It supports the calculation of vapor–liquid ... basis of the grand equilibrium method. Furthermore, it is capable of sampling various classical ensembles...
  • Pyboo

  • Referenced in 1 article [sw30915]
  • bond orientational order parameter is a popular method (>20k citations of the original paper ... simulations (typically molecular dynamics, brownian dynamics, monte-carlo, etc.) or in particle-tracking experiments (colloids...
  • MOCCA

  • Referenced in 1 article [sw28883]
  • paper describes one approach to the Monte-Carlo simulation of extensive air showers of energy ... algorithm, as employed in MOCCA, is useful. Methods of demonstrating the contribution of different features...
  • LOOPER

  • Referenced in 1 article [sw17376]
  • prediction of protein loop conformations. The method is based on a multi-step algorithm (developed ... many ab initio algorithms that use Monte-Carlo schemes or exhaustive sampling, LOOPER adopts ... proposed as an alternative structure validation method to the widely used Ramachandra plot. The efficient...
  • SolarPILOT

  • Referenced in 1 article [sw32302]
  • efficiency. This paper discusses several of these methods, including dynamic heliostat grouping to reduce ... small heliostats. SolarPILOT also integrates a Monte-Carlo ray tracing engine (SolTrace), providing improved...
  • CosmoPMC

  • Referenced in 1 article [sw24738]
  • adaptive importance sampling method called Population Monte Carlo (PMC). Various cosmology likelihood modules are implemented ... plotting programs, and in addition a Monte-Carlo Markov chain (MCMC) algorithm. The sampling engine...