Results 11 to 20 of about 1,205,834 (315)

Direct simulation Monte Carlo on petaflop supercomputers and beyond

open access: yesPhysics of Fluids, 2019
The gold-standard definition of the Direct Simulation Monte Carlo (DSMC) method is given in the 1994 book by Bird [Molecular Gas Dynamics and the Direct Simulation of Gas Flows (Clarendon Press, Oxford, UK, 1994)], which refined his pioneering earlier ...
S. Plimpton   +6 more
semanticscholar   +3 more sources

Efficient Monte Carlo Calculations of the One-Body Density [PDF]

open access: yes, 2006
An alternative Monte Carlo estimator for the one-body density rho(r) is presented. This estimator has a simple form and can be readily used in any type of Monte Carlo simulation.
Assaraf, Roland   +2 more
core   +7 more sources

Monte Carlo Simulation

open access: yesACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2010
John A. Sokolowski
semanticscholar   +2 more sources

PERBANDINGAN HASIL PERHITUNGAN PREMI ASURANSI JIWA ENDOWMENT SUKU BUNGA VASICEK DENGAN DAN TANPA SIMULASI MONTE CARLO

open access: yesE-Jurnal Matematika, 2017
Vasicek is one of the stochastic interest rate model that can capture interest rates movement. The aim of this research was to get the comparison of the level premium for an endowment life insurance under stochastic interest rate without and by using ...
DESI KURNIA SARI   +2 more
doaj   +1 more source

Accelerated Quantum Monte Carlo with Mitigated Error on Noisy Quantum Computer

open access: yesPRX Quantum, 2021
Quantum Monte Carlo and quantum simulation are both important tools for understanding quantum many-body systems. As a classical algorithm, quantum Monte Carlo suffers from the sign problem, preventing its application to most fermion systems and real-time
Yongdan Yang, Bing-Nan Lu, Ying Li
doaj   +1 more source

Examining the Value of Monte Carlo Simulation for Project Time Management

open access: yesManagement, 2019
Research Question: This paper investigates whether the Monte Carlo simulation can be widely used as a practicable method for the analysis of the risks that impact project duration.
Goran Avlijas
doaj   +1 more source

Teaching Monte Carlo Simulation with Python

open access: yesJournal of Statistics and Data Science Education, 2022
It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years.
Justin O. Holman, Allie Hacherl
doaj   +1 more source

The Coupled Electronic-Ionic Monte Carlo Simulation Method [PDF]

open access: yes, 2002
Quantum Monte Carlo (QMC) methods such as Variational Monte Carlo, Diffusion Monte Carlo or Path Integral Monte Carlo are the most accurate and general methods for computing total electronic energies.
B. L. Hammond Jr.   +35 more
core   +2 more sources

Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation

open access: yesYuanzineng 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  

PENENTUAN HARGA JUAL OPSI BARRIER TIPE EROPA DENGAN METODE ANTITHETIC VARIATE PADA SIMULASI MONTE CARLO

open access: yesE-Jurnal Matematika, 2018
The purpose of this research is to compare the selling price of down and out barrier option when the prices are simulated by the Antithetic Variate Monte Carlo and the standar Monte Carlo.
LUH HENA TERECIA WISMAWAN PUTRI   +2 more
doaj   +1 more source

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