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Titlebook: Classical Statistical Mechanics with Nested Sampling; Robert John Nicholas Baldock Book 2017 Springer International Publishing AG 2017 Nes

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Phase Space Probability Distributions for Various External ConditionsIn depth derivation of mathematical objects which are important in statistical mechanics. Concepts and equations are exposed in such a way as to make sense of the work presented later in the thesis.
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Relating Probability Density Functions to the Behaviour of SystemsIntroduction to phase transitions and phase diagrams. A number of important ideas from computational statistical mechanics are also discussed.
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The Strategy of Nested SamplingAn intuitive introduction to the strategy of nested sampling.
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Equations of StateThis chapter introduces an approach for calculating pressure-volume-temperature equations of state with nested sampling.
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Parallelising Nested SamplingThis chapter describes and compares two strategies for parallelising nested sampling.
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IntroductionThis chapter introduces Hamiltonian Monte Carlo and describes its normal use in sampling the canonical distribution.
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Hamiltonian Monte Carlo for Nested SamplingThis chapter introduces a Hamiltonian Monte Carlo algorithm for performing constant pressure nested sampling calculations.
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