• mlOSP

  • Referenced in 1 article [sw36181]
  • unified numerical implementation of Regression Monte Carlo (RMC) approaches to optimal stopping, providing a state ... nature, we present multiple novel variants of RMC algorithms, especially in terms of constructing simulation ... time, mlOSP nests most of the existing RMC schemes, allowing for a consistent and verifiable ... serves the dual role of presenting new RMC features and as a vignette...
  • Fullrmc

  • Referenced in 0 articles [sw18974]
  • artificial intelligence. A new Reverse Monte Carlo (RMC) package “fullrmc” for atomic or rigid body ... molecular structure is different from existing RMC algorithms and software. In a nutshell, traditional ... RMC methods and software randomly adjust atom positions until the whole system has the greatest ... atoms. While fullrmc allows running traditional RMC modeling, the uniqueness of this approach resides...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • DiceKriging

  • Referenced in 69 articles [sw07783]
  • R package DiceKriging: Kriging methods for computer experiments...
  • DiceOptim

  • Referenced in 67 articles [sw07784]
  • R package DiceOptim: Kriging-based optimization for computer...
  • HRMC

  • Referenced in 1 article [sw17640]
  • HRMC_2.1: Hybrid reverse Monte Carlo method with...
  • rlsm

  • Referenced in 2 articles [sw22733]
  • rlsm: R package for least squares Monte Carlo...
  • StOpt

  • Referenced in 7 articles [sw32903]
  • StOpt: STochastic OPTimization library in C++. The STochastic...