Results 111 to 120 of about 1,957,287 (256)

Analysis of Risk-informed Safety Margin on SBO of Simplified Nuclear Power Plant Based on Monte Carlo Sampling

open access: yesYuanzineng kexue jishu, 2022
The risk-informed safety margin is a new safety concept of nuclear power industry in recent ten years. The calculation framework and the quantification technology under the Monte Carlo method of the riskinformed safety margin were studied.
LI Chaojun;ZHANG Pan;HAN Zhi;ZHENG Jie;CHEN Yan;LI Chun;YI Yan
doaj  

Clock factorized quantum Monte Carlo method for long-range interacting systems

open access: yesSciPost Physics Core
Simulating long-range interacting systems is a challenging task due to its computational complexity that the computational effort for each local update is of order $\mathcal{O}(N)$, where $N$ is the size of the system.
Zhijie Fan, Chao Zhang, Youjin Deng
doaj   +1 more source

Comparison of two methods for probabilistic finite element analysis of total knee replacement

open access: yes, 2008
Probabilistic Finite Element (FE) models have recently been developed to assess the impact of experimental variability present in knee wear simulator on predicted Total Knee Replacement (TKR) mechanics by determining the performance envelope of joint ...
Arsene, C.T.C.   +3 more
core  

Benchmark Phaseless Auxiliary-Field Quantum Monte Carlo Method for Small Molecules. [PDF]

open access: yesJ Chem Theory Comput, 2023
Sukurma Z   +4 more
europepmc   +1 more source

Comparative Study of Monte Carlo and Quasi-Monte Carlo Techniques for Enhanced Derivative Pricing [PDF]

open access: yesarXiv
This study presents a comparative analysis of Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods in the context of derivative pricing, emphasizing convergence rates and the curse of dimensionality. After a concise overview of traditional Monte Carlo techniques for evaluating expectations of derivative securities, the paper introduces quasi-Monte ...
arxiv  

Attitude Control System for Quadrotor Using Robust Monte Carlo Model Predictive Control

open access: yesActuators
Monte Carlo Model Predictive Control (MCMPC) is a kind of non-linear Model Predictive Control (MPC) that determines control inputs using the Monte Carlo method.
Kai Masuda, Kenji Uchiyama
doaj   +1 more source

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