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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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樓主: 重婚
21#
發(fā)表于 2025-3-25 05:03:20 | 只看該作者
22#
發(fā)表于 2025-3-25 07:35:11 | 只看該作者
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.
23#
發(fā)表于 2025-3-25 14:58:14 | 只看該作者
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.
24#
發(fā)表于 2025-3-25 18:09:08 | 只看該作者
The Strategy of Nested SamplingAn intuitive introduction to the strategy of nested sampling.
25#
發(fā)表于 2025-3-25 20:53:57 | 只看該作者
26#
發(fā)表于 2025-3-26 03:59:45 | 只看該作者
27#
發(fā)表于 2025-3-26 05:30:19 | 只看該作者
Equations of StateThis chapter introduces an approach for calculating pressure-volume-temperature equations of state with nested sampling.
28#
發(fā)表于 2025-3-26 10:13:20 | 只看該作者
Parallelising Nested SamplingThis chapter describes and compares two strategies for parallelising nested sampling.
29#
發(fā)表于 2025-3-26 15:00:44 | 只看該作者
IntroductionThis chapter introduces Hamiltonian Monte Carlo and describes its normal use in sampling the canonical distribution.
30#
發(fā)表于 2025-3-26 17:56:30 | 只看該作者
Hamiltonian Monte Carlo for Nested SamplingThis chapter introduces a Hamiltonian Monte Carlo algorithm for performing constant pressure nested sampling calculations.
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