Results 61 to 70 of about 1,149,889 (365)

Strict Detailed Balance is Unnecessary in Monte Carlo Simulation

, 1998
Detailed balance is an overly strict condition to ensure a valid Monte Carlo simulation. We show that, under fairly general assumptions, a Monte Carlo simulation need satisfy only the weaker balance condition. Not only does our proof show that sequential
Deem, Michael W., Manousiouthakis, Vasilios I.   +1 more
core   +1 more source

Yield Model Characterization For Analog Integrated Circuit Using Pareto-Optimal Surface [PDF]

, 2008
A novel technique is proposed in this paper that achieves a yield optimized design from a set of optimal performance points on the Pareto front. Trade-offs among performance functions are explored through multi-objective optimization and Monte Carlo ...
Ali, Sawal, Brown, Andrew, Wilcock, Reuben, Wilson, Peter   +3 more
core   +1 more source

Global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis burden, 1990–2021

Arthritis Care &Research, Accepted Article.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rate for site‐specific OA across 204 countries/territories were obtained from the Global Burden of Diseases Study (GBD) 2021.
Haowei Chen, Lei Si, David J Hunter, Lei Zhang, Zhe‐Sheng Chen, Xiaomeng Wang, Vicky Duong, Zhounan Zhou, Peihua Cao, Han Cen, Su'an Tang, Tianyu Chen, Houjun Xue, Zhaohua Zhu, Changhai Ding   +14 more
wiley   +1 more source

MCSim: A Monte Carlo Simulation Program

Journal of Statistical Software, 1997
MCSim consists of two pieces, a model generator and a simulation engine. The model generator, mod, was created to facilitate the model maintenance and simulation definition, while keeping execution time fast.
Frédéric Y. Bois, Don R. Maszle
doaj   +3 more sources

Simulação do equilíbrio: o método de Monte Carlo Equilibrium simulation: Monte Carlo method

Química Nova, 2007
We make several simulations using the Monte Carlo method in order to obtain the chemical equilibrium for several first-order reactions and one second-order reaction. We study several direct, reverse and consecutive reactions.
Alejandro López-Castillo, José Cândido de Souza Filho   +1 more
doaj   +1 more source

Transition Matrix Monte Carlo

, 1999
Although histogram methods have been extremely effective for analyzing data from Monte Carlo simulations, they do have certain limitations, including the range over which they are valid and the difficulties of combining data from independent simulations.
BRIAN DIGGS, CHRISTOPHER GENOVESE, de Oliveira P. M. C., JIAN-SHENG WANG, JOSEPH B. KADANE, ROBERT H. SWENDSEN, SHING-TE LI   +6 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

High Ener High Energy Appr gy Approximation for Monte Carlo E ximation for Monte Carlo Event gener ent generator

Eurasian Journal of Physics and Functional Materials
Analysis of the nuclear physics experiment often requires Monte Carlo simulation of the detector setup. Such kind of simulations often requires a quite advanced model of nuclear interaction.
A. N. Ismailova , Yu. L. Parfenova , P. G. Sharov, D. M. Janseitov   +3 more
doaj   +1 more source

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing

Statistical Theory and Related Fields, 2017
Monte Carlo and quasi-Monte Carlo methods are widely used in scientific studies. As quasi-Monte Carlo simulations have advantage over ordinary Monte Carlo methods, this paper proposes a new quasi-Monte Carlo method to simulate Brownian sheet via its ...
Xinyu Song, Yazhen Wang
doaj   +1 more source

PENGGUNAAN SIMULASI MONTE CARLO DALAM ESTIMASI VALUE AT RISK (VaR) PORTOFOLIO YANG DIBENTUK DARI INDEKS HARGA SAHAM MULTINASIONAL

E-Jurnal Matematika, 2022
Investment is buying an asset that is expected in the future can be resold and get a high profit value. There are two factors that must be considered when you want to invest in stocks, namely the rate of return on stocks and risk factors.
NABILA NUR JANNAH, KOMANG DHARMAWAN, LUH PUTU IDA HARINI   +2 more
doaj   +1 more source