Monte Carlo method.
Overview
| Works: | 122 works in 28 publications in 28 languages | |
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Titles
Electron-beam interactions with solids : = application of the Monte Carlo method to electron scattering problems /
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Chaos theory in the financial markets : = applying fractals, fuzzy logic, genetic algorithms, swarm simulation & the Monte Carlo method to manage market chaos & volatility /
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Monte Carlo simulation in statistical physics : = an introduction /
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Approximating integrals via Monte Carlo and deterministic methods /
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Markov chain Monte Carlo : = stochastic simulation for Bayesian inference /
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Statistical simulation : = power method polynomials and other transformations /
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Statistical simulation = power method polynomials and other transformations /
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(Electronic resources)
Stochastic simulations of clusters = quantum methods in flat and curved spaces /
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Quantum Monte Carlo programming : = for atoms, molecules, clusters, and solids /
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Interacting multiagent systems : = kinetic equations and Monte Carlo methods /
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Standard model measurements with the ATLAS detector = Monte Carlo simulations of the tile calorimeter and measurement of the Z --> [theta, theta] cross section /
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Geometrically constructed Markov chain Monte Carlo study of quantum spin-phonon complex systems
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Quantum Monte Carlo programming = for atoms, molecules, clusters, and solids /
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Microscopic imaging through turbid media = Monte Carlo modeling and applications /
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Monte Carlo methods for radiation transport = fundamentals and advanced topics /
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Computational physics = an introduction to Monte Carlo simulations of matrix field theory /
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MCMC from scratch = a practical introduction to Markov Chain Monte Carlo /
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Monte carlo methods for partial differential equations with applications to electronic design automation
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Monte Carlo optimization, simulation, and sensitivity of queuing networks /
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Monte Carlo : = methodologies and applications for pricing and risk management /
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SAS?for Monte Carlo studie = a guide for quantitative researchers /
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Monte Carlo simulation in statistical physics : = an introduction /
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The cross-entropy method : = a unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning /
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Image analysis, random fields and Markov chain Monte Carlo methods : = a mathematical introduction /
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Advanced dynamic-system simulation : = model-replication techniques and Monte Carlo simulation /
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Electron-beam interactions with solids = application of the Monte Carlo method to electron scattering problems /
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(Language materials, printed)
Disordered alloys = diffuse scattering and Monte Carlo simulations /
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Advanced Markov chain Monte Carlo methods : = learning from past samples /
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Monte Carlo calculations in nuclear medicine = applications in diagnostic imaging /
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(Electronic resources)
Monte Carlo simulation for the pharmaceutical industry = concepts, algorithms, and case studies /
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Transport of energetic electrons in solids = computer simulation with applications to materials analysis and characterization /
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(Electronic resources)
Essentials of Monte Carlo simulation : = statistical methods for building simulation models /
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Towards offline PET monitoring at a cyclotron-based proton therapy facility = experiments and Monte Carlo simulations /
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Transport of energetic electrons in solids = computer simulation with applications to materials analysis and characterization /
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(Electronic resources)
Markov chain Monte Carlo methods in quantum field theories = a modern primer /
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(Electronic resources)
Transport of energetic electrons in solids = computer simulation with applications to materials analysis and characterization /
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(Electronic resources)
Monte Carlo N-particle simulations for nuclear detection and safeguards = an examples-based guide for students and practitioners /
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(Electronic resources)
Transport of energetic electrons in solids = computer simulation with applications to materials analysis and characterization /
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(Electronic resources)
Handbook in Monte Carlo simulation = applications in financial engineering, risk management, and economics /
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(Electronic resources)
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