This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered include conditional expectations, stochastic processes, Langevin equations, and Markov chain Monte Carlo algorithms. The applications include data assimilation, prediction from partial data, spectral analysis and turbulence. A special feature is the systematic analysis of memory effects.
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表中的内容
Preliminaries.- Probability.- Brownian Motion.- Stationary Stochastic Processes.- Statistical Mechanics.- Time-Dependent Statistical Mechanics.购买此电子书可免费获赠一本！
语言 英语 ● 格式 PDF ● 网页 162 ● ISBN 9781441910028 ● 文件大小 2.3 MB ● 出版者 Springer New York ● 市 NY ● 国家 US ● 发布时间 2009 ● 版 2 ● 下载 24 个月 ● 货币 EUR ● ID 2149865 ● 复制保护 Adobe DRM
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