Factorization in molecular modeling and belief propagation algorithms

Factorization in molecular modeling and belief propagation algorithms

Factorization reduces computational complexity, and is therefore an important tool in statistical machine learning of high dimensional systems. Conventional molecular modeling, including molecular dynamics and Monte Carlo simulations of molecular systems, is a large research field based on approxima...

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Bibliographic Details
Main Authors: Bochuan Du, Pu Tian
Format: Article
Language:English
Published: AIMS Press 2023-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
molecular simulation
repetitive local sampling
neural network
local distribution theory
belief propagation
repetitive message passing
loopy belief propagation
gaussian belief propagation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023935?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023935?viewType=HTML

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