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- ...'' is a [[Semiclassical physics|semiclassical]] [[Monte Carlo method|Monte Carlo]] (MC) approach of modeling [[semiconductor]] transport. Assuming the carri ...merical method such as the spherical harmonics approach, whereas the Monte Carlo is the stochastic approach used to solve the BTE. ...32 KB (4,845 words) - 21:39, 6 April 2024
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- The '''demon algorithm''' is a [[Monte Carlo method]] for efficiently sampling members of a [[microcanonical ensemble]] ...te microscopic properties is computationally very expensive. [[Monte Carlo methods]] can overcome this problem by sampling microscopic states according to sto ...4 KB (627 words) - 16:16, 7 June 2024
- ....361W }}</ref> named after [[Ulli Wolff]], is an [[algorithm]] for [[Monte Carlo simulation]] of the [[Ising model]] and [[Potts model]] in which the unit t *{{citation | doi=10.1103/PhysRevLett.62.361 | title=Collective Monte Carlo Updating for Spin Systems | year=1989 | author=Wolff, Ulli | journal=Physic ...3 KB (369 words) - 00:29, 31 October 2022
- {{Short description|Monte Carlo method}} ...t2=Taimre|first2=T.|last3=Botev|first3=Z. I.|title=Handbook of Monte Carlo methods|year=2011 |publisher=John Wiley & Sons}}(Chapter 9.3)</ref> ...4 KB (525 words) - 18:59, 6 June 2024
- ...methods can greatly reduce the computational cost of standard Monte Carlo methods by taking most samples with a low accuracy and corresponding low cost, and ...journal |last=Giles |first=M. B. |date=2015 |title=Multilevel Monte Carlo Methods |journal=Acta Numerica |volume=24 |pages=259–328 |doi=10.1017/s096249291500 ...8 KB (1,158 words) - 03:01, 22 August 2023
- ...man-Rubin statistic''' allows a statement about the convergence of [[Monte Carlo simulations]]. <math>J</math> Monte Carlo simulations (chains) are started with different initial values. The samples ...2 KB (357 words) - 05:44, 19 August 2024
- == Monte Carlo Tree Search at Google Deepmind == Monte Carlo tree search (MCTS) is used by Google DeepMind to help artificial intelligen ...8 KB (1,085 words) - 10:47, 12 October 2024
- Methods are typically based on the availability of a [[Uniform distribution (contin ...gov/pdf_files/nbs_vonneumann.pdf |quote=Any one who considers arithmetical methods of producing random digits is of course, in a state of sin.}} Also online ...7 KB (865 words) - 16:27, 24 December 2024
- {{Short description|Monte Carlo sampling scheme}} ...rxiv=0903.5480|via=[[Project Euclid]]|doi-access=free}}</ref> is a [[Monte Carlo method]] to sample from a probability distribution. It is an instance of th ...7 KB (1,115 words) - 07:18, 28 March 2024
- == Probabilist methods == == Monte Carlo estimation == ...4 KB (655 words) - 13:04, 29 January 2025
- {{Short description|Markov Chain Monte Carlo algorithm}} ...hm (MALA)''' or '''Langevin Monte Carlo (LMC)''' is a [[Markov chain Monte Carlo]] (MCMC) method for obtaining [[pseudo-random number sampling|random sample ...8 KB (1,180 words) - 20:18, 19 July 2024
- ...group diagrams into [[determinant]]s, and finally use [[Markov chain Monte Carlo]] to stochastically sum up the resulting series.<ref name="gull11" /> ...istinguish the method from the then-predominant [[Hirsch–Fye quantum Monte Carlo]] method,<ref name=rubtsov05/> which relies on a [[Lie–Trotter product form ...8 KB (1,118 words) - 16:35, 6 March 2023
- ...]s, low-discrepancy sets of points, and their application to [[Quasi-Monte Carlo method]]s for numerical integration. He is one of the namesakes of the [[Lo | title = The mathematical basis of Monte Carlo and quasi-Monte Carlo methods ...3 KB (445 words) - 11:04, 12 January 2025
- ...medes uses the [[Monte Carlo methods for electron transport|Ensemble Monte Carlo]] method and is able to simulate physics effects and transport for electron ...ll be substituted by Archimedes, making this one the GNU package for Monte Carlo semiconductor devices simulations.<ref>{{cite mailing list |last=Sellier |f ...9 KB (1,331 words) - 20:36, 15 September 2024
- ...ecomes:<ref name=":1">{{cite journal|title= An introduction to Monte Carlo methods |year= 2015 |doi= 10.1016/j.physa.2014.06.014 |arxiv= 1404.0209 |language=e ...ve identical results. In general, at equilibrium, any [[Markov chain Monte Carlo|MCMC]] algorithm should produce the same distribution, as long as the algor ...5 KB (808 words) - 20:51, 22 November 2024
- These two methods are very similar. ...{\infty}</math> and <math>V_{J}^{\infty}</math>, a problem about the Monte Carlo bias should be considered, especially when n is large, the bias is getting ...4 KB (619 words) - 17:21, 21 February 2025
- ...|last1 = Newman |first2 = Gerard T. |last2 = Barkema |title = Monte Carlo methods in statistical physics |place = Oxford |publisher = Clarendon Press |year ...1 KB (175 words) - 05:26, 13 March 2024
- ...ed to as [[Green's function]]s or [[impulse response]]s. Photon transport methods can be directly used to compute broad-beam responses by distributing photon Responses from photon transport methods can be physical quantities such as [[Absorption (electromagnetic radiation) ...9 KB (1,507 words) - 18:51, 22 December 2023
- ...t2=K.|title=Interdiffusion and self-diffusion in polymer mixtures: A Monte Carlo study|journal=The Journal of Chemical Physics|volume=94|issue=3|year=1991|p ==Monte Carlo step== ...6 KB (936 words) - 20:06, 23 March 2021
- [[File:Hamiltonian Monte Carlo.gif|right|thumb|300px|Hamiltonian Monte Carlo sampling a two-dimensional probability distribution]] ...m (originally known as '''hybrid Monte Carlo''') is a [[Markov chain Monte Carlo]] method for obtaining a sequence of [[Sampling (statistics)|random samples ...13 KB (2,053 words) - 18:06, 10 January 2025
- ...kiy |first1= M.P.|last2= Krivtsov|first2= V.V.|date= 1998|chapter= A Monte Carlo approach to repairable system reliability analysis|title= Probabilistic Saf ...obtain due to the recurrent infinite series. A [[Monte Carlo method|Monte Carlo]] based approach to solving the G-renewal Equation was developed by Kaminis ...9 KB (1,242 words) - 17:13, 6 February 2025