About: Reverse Monte Carlo

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The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis–Hastings algorithm to solve an inverse problem whereby a model is adjusted until its parameters have the greatest consistency with experimental data. Inverse problems are found in many branches of science and mathematics, but this approach is probably best known for its applications in condensed matter physics and solid state chemistry.

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  • The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis–Hastings algorithm to solve an inverse problem whereby a model is adjusted until its parameters have the greatest consistency with experimental data. Inverse problems are found in many branches of science and mathematics, but this approach is probably best known for its applications in condensed matter physics and solid state chemistry. (en)
  • 逆向蒙特卡罗方法（英語：Reverse Monte Carlo method），是标准Metropolis-Hastings算法的变体，用于解决逆向问题，即调节模型使其参数与实验数据达到最大的一致性。在科学和数学的分支中经常遇到逆向问题，然而这一方法可能更广泛地应用于凝聚态物理学和固体化学。 (zh)
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  • The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis–Hastings algorithm to solve an inverse problem whereby a model is adjusted until its parameters have the greatest consistency with experimental data. Inverse problems are found in many branches of science and mathematics, but this approach is probably best known for its applications in condensed matter physics and solid state chemistry. (en)
  • 逆向蒙特卡罗方法（英語：Reverse Monte Carlo method），是标准Metropolis-Hastings算法的变体，用于解决逆向问题，即调节模型使其参数与实验数据达到最大的一致性。在科学和数学的分支中经常遇到逆向问题，然而这一方法可能更广泛地应用于凝聚态物理学和固体化学。 (zh)
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  • Reverse Monte Carlo (en)
  • 逆向蒙特卡罗方法 (zh)
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