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031229s1999 enka ob 001 0 eng d |
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|a 814476039
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|a 0585484007
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|a QC174.85.M64
|b N49 1999eb
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|a SCI
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|a 530.13
|2 22
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|a UAMI
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|a Newman, M. E. J.
|q (Mark E. J.)
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|a Monte Carlo methods in statistical physics /
|c M.E.J. Newman and G.T. Barkema.
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|a Oxford :
|b Clarendon Press ;
|a New York :
|b Oxford University Press,
|c 1999.
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|a 1 online resource (xiv, 475 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references (pages 410-413) and index.
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|a Print version record.
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|t Equilibrium Monte Carlo simulations --
|t Introduction --
|t Statistical mechanics --
|t Equilibrium --
|t Fluctuations, correlations and responses --
|t example: the Ising model --
|t Numerical methods --
|t Monte Carlo simulation --
|t brief history of the Monte Carlo method --
|t Problems --
|t principles of equilibrium thermal Monte Carlo simulation --
|t estimator --
|t Importance sampling --
|t Markov processes --
|t Ergodicity --
|t Detailed balance --
|t Acceptance ratios --
|t Continuous time Monte Carlo --
|t Problems --
|t Ising model and the Metropolis algorithm --
|t Metropolis algorithm --
|t Implementing the Metropolis algorithm --
|t Equilibration --
|t Measurement --
|t Autocorrelation functions --
|t Correlation times and Markov matrices --
|t Calculation of errors --
|t Estimation of statistical errors --
|t blocking method --
|t bootstrap method --
|t jackknife method --
|t Systematic errors --
|t Measuring the entropy --
|t Measuring correlation functions --
|t actual calculation --
|t phase transition --
|t Critical fluctuations and critical showing down --
|t Problems --
|t Other algorithms for the Ising model --
|t Critical exponents and their measurement --
|t Wolff algorithm --
|t Acceptance ratio for a cluster algorithm --
|t Properties of the Wolff algorithm --
|t correlation time and the dynamic exponent --
|t dynamic exponent and the susceptibility --
|t Further algorithms for the Ising model --
|t Swendsen -- Wang algorithm --
|t Niedermayer's algorithm --
|t Multigrid methods --
|t invaded cluster algorithm --
|t Other spin models --
|t Potts models --
|t Cluster algorithms for Potts models --
|t Continuous spin models --
|t Problems --
|t conserved-order-parameter Ising model --
|t Kawasaki algorithm --
|t Simulation of interfaces --
|t More efficient algorithms --
|t continuous time algorithm --
|t Equilibrium crystal shapes --
|t Problems --
|t Disordered spin models --
|t Glassy systems --
|t random-field Ising model --
|t Spin glasses
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Monte Carlo method.
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|a Statistical physics.
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|a Méthode de Monte-Carlo.
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|a Physique statistique.
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|a SCIENCE
|x Physics
|x General.
|2 bisacsh
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650 |
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|a Monte Carlo method
|2 fast
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650 |
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|a Statistical physics
|2 fast
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|a MATERIAIS.
|2 larpcal
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|a MATERIAIS ELETRÔNICOS.
|2 larpcal
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|a Barkema, G. T.
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|i Print version:
|a Newman, M.E.J. (Mark E.J.).
|t Monte Carlo methods in statistical physics.
|d Oxford : Clarendon Press ; New York : Oxford University Press, 1999
|z 0198517963
|z 0198517971
|w (DLC) 99213405
|w (OCoLC)40927360
|
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=98492
|z Texto completo
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