Stochastic tools in mathematics and science
著者
書誌事項
Stochastic tools in mathematics and science
（Surveys and tutorials in the applied mathematical sciences, v. 1）
Springer, c2009
2nd ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Preliminaries.- Probability.- Brownian Motion.- Stationary Stochastic Processes.- Statistical Mechanics.- Time-Dependent Statistical Mechanics.
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