Results 71 to 80 of about 1,957,287 (256)
Quantum Monte Carlo for minimum energy structures
, 2010 We present an efficient method to find minimum energy structures using energy estimates from accurate quantum Monte Carlo calculations. This method involves a stochastic process formed from the stochastic energy estimates from Monte Carlo that can be ...
Jeffrey C. Grossman +2 more
core +1 more source
Projected Multilevel Monte Carlo Method for PDE with random input data [PDF]
arXiv, 2015 The order of convergence of the Monte Carlo method is 1/2 which means that we need quadruple samples to decrease the error in half in the numerical simulation. Multilevel Monte Carlo methods reach the same order of error by spending less computational time than the Monte Carlo method.
arxiv
Inference with Hamiltonian Sequential Monte Carlo Simulators [PDF]
arXiv, 2018 The paper proposes a new Monte-Carlo simulator combining the advantages of Sequential Monte Carlo simulators and Hamiltonian Monte Carlo simulators. The result is a method that is robust to multimodality and complex shapes to use for inference in presence of difficult likelihoods or target functions. Several examples are provided.
arxiv
A multi-scale Monte Carlo method for electrolytes
New Journal of Physics, 2015 Artifacts arise in the simulations of electrolytes using periodic boundary conditions (PBCs). We show the origin of these artifacts are the periodic image charges and the constraint of charge neutrality inside the simulation box, both of which are ...
Yihao Liang, Zhenli Xu, Xiangjun Xing
doaj +1 more source
Jurnal Ilmu Dasar, 2018 Have analyzed comparative analytical and numerical computation solutions in the case of magnetic flux to the circular loop of radius R as far apart as H around the current I in the wire.
Ady E.P Haning, Ali Warsito
doaj +1 more source
Monte Carlo Methods for Industry 4.0 Applications [PDF]
arXiv, 2022 The fourth industrial revolution and the digital transformation, commonly known as Industry 4.0, is exponentially progressing in recent years. Connected computers, devices, and intelligent machines communicate with each other and interact with the environment to require only a minimum of human intervention.
arxiv
Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation
Yuanzineng kexue jishu, 2022 Using natural cosmic ray muon as radiation source, muon absorption radiography can realize nondestructive detection of large-scale geological objects. Simulation analysis is an important step in the application of muon absorption radiography.
DING Wenwan;LIU Yuanyuan;WANG Li;SU Ning;CHENG Jianping;HAN Jianwu;ZHEN Gang
doaj
Sequential monte carlo samplers [PDF]
arXiv, 2002 This paper shows how one can use Sequential Monte Carlo methods to perform what is typically done using Markov chain Monte Carlo methods. This leads to a general class of principled integration and genetic type optimization methods based on interacting particle systems.
arxiv
Monte Carlo simulation for statistical Hauser-Feshbach theory
EPJ Web of Conferences, 2010 Monte Carlo simulations for particle and γ-ray emissions from a compound nucleus based on the Hauser-Feshbach statistical theory are performed. The Monte Carlo method is applied to the neutron induced nuclear reactions on 56Fe, and the results are ...
Watanabe T. +3 more
doaj +1 more source
High Performance Financial Simulation Using Randomized Quasi-Monte Carlo Methods [PDF]
arXiv, 2014 GPU computing has become popular in computational finance and many financial institutions are moving their CPU based applications to the GPU platform. Since most Monte Carlo algorithms are embarrassingly parallel, they benefit greatly from parallel implementations, and consequently Monte Carlo has become a focal point in GPU computing.
arxiv