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Monte Carlo algorithm
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#	Item
191	RFF: A Robust, FF-Based MDP Planning Algorithm for Generating Policies with Low Probability of Failure Florent Teichteil-K¨onigsbuch and Guillaume Infantes Ugur Kuter Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2008-09-15 10:48:04 Randomness Complexity classes Probabilistic complexity theory Quantum complexity theory Automated planning and scheduling Algorithm Planning Domain Definition Language Monte Carlo method SL Theoretical computer science Computational complexity theory Applied mathematics
192	A Scalable Method for Ab Initio Computation of Free Energies in Nanoscale Systems Markus Eisenbach, Oak Ridge National Laboratory Chenggang Zhou, J.P. Morgan Chase & Co. Donald M. Nicholson, Oak Ridge National Laboratory Add to Reading List Source URL: www.psi-k.org Language: English - Date: 2013-07-08 20:01:55 Statistical mechanics Density of states Metropolis–Hastings algorithm Statistics Probability and statistics Computational physics Wang and Landau algorithm Physics Markov chain Monte Carlo Monte Carlo methods
193	Tutorial on Markov Chain Monte Carlo Add to Reading List Source URL: kmh-lanl.hansonhub.com Language: English - Date: 2010-04-19 01:12:50 Bayesian statistics Markov models Statistical theory Computational statistics Metropolis–Hastings algorithm Markov chain Monte Carlo Markov chain Bayesian inference Principle of maximum entropy Statistics Probability and statistics Monte Carlo methods
194	%A L. Ingber %T Simulated annealing: Practice versus theory %J Mathl. Comput. Modelling %V 18 %N 11 %D 1993 Add to Reading List Source URL: www.ingber.com Language: English - Date: 2002-01-14 20:39:05 Monte Carlo methods Numerical analysis Operations research Adaptive simulated annealing Simulated annealing Genetic algorithm Boltzmann machine Travelling salesman problem Algorithm Mathematics Applied mathematics Mathematical optimization
195	Clustering Mutational Spectra via Classi cation Likelihood and Markov Chain Monte Carlo Algorithms Mario MEDVEDOVIC, Paul SUCCOP, Rakesh SHUKLA, and Kathleen DIXON We have analyzed a set of 39 mutational spectra of the Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:56 Estimation theory Expectation–maximization algorithm Missing data Cluster analysis Gibbs sampling Normal distribution Multinomial distribution Statistics Multivariate statistics Machine learning
196	Mollied Monte Carlo Part I Daniel Doro Ferrante∗ G. S. Guralnik, J. D. Doll and D. Sabo HET Physics Dept, Brown University, USA†. Add to Reading List Source URL: chep.het.brown.edu Language: English - Date: 2003-07-25 10:48:41 Statistical mechanics Metropolis–Hastings algorithm Partition function Integral Path integral formulation Itō diffusion Physics Markov chain Monte Carlo Quantum field theory
197	%A L. Ingber %T Adaptive simulated annealing (ASA): Lessons learned %J Control and Cybernetics %D 1995 %P (to be published) This is an invited paper to a special issue of the Polish Journal Control and Cybernetics on “ Add to Reading List Source URL: www.ingber.com Language: English - Date: 2002-01-14 20:39:05 Numerical analysis Mathematical analysis Mathematics Simulated annealing Markov chain Monte Carlo Maxwell–Boltzmann distribution Metropolis–Hastings algorithm Partition function Quantum annealing Monte Carlo methods Adaptive simulated annealing Mathematical optimization
198	Mathematical and Computer Modelling, [removed], [removed]GENETIC ALGORITHMS AND VERY FAST SIMULATED REANNEALING: A COMPARISON LESTER INGBER Lester Ingber Research, P.O. Box 857, McLean, VA 22101, U.S.A. [removed] Add to Reading List Source URL: www.ingber.com Language: English - Date: 2002-01-14 20:39:05 Monte Carlo methods Stochastic optimization Cybernetics Genetic algorithm Simulated annealing Adaptive simulated annealing Quantum annealing Numerical analysis Mathematical optimization Applied mathematics
199	BAYESIAN STATISTICS 7 Proceedings of the Seventh Valencia International Meeting Dedicated to Dennis V. Lindley June 2–6, 2002 Add to Reading List Source URL: www.uv.es Language: English - Date: 2004-11-05 07:32:55 Bayesian inference Bayes factor Markov chain Monte Carlo Hidden Markov model Expectation–maximization algorithm Generalized linear model Regression analysis Variational Bayesian methods Bayesian probability Statistics Bayesian statistics Bayesian network
200	ASA OPTIONS Lester Ingber Abstract Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robus Add to Reading List Source URL: www.ingber.com Language: English - Date: 2011-06-15 18:00:58 Adaptive simulated annealing Mathematical optimization Mathematics Simulated annealing Stochastic optimization Maxwell–Boltzmann distribution Metropolis–Hastings algorithm Partition function Annealing Monte Carlo methods Numerical analysis Mathematical analysis

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