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.
Jadual kandungan
Preliminaries.- Probability.- Brownian Motion.- Stationary Stochastic Processes.- Statistical Mechanics.- Time-Dependent Statistical Mechanics.
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Bahasa Inggeris ● Format PDF ● Halaman-halaman 162 ● ISBN 9781441910028 ● Saiz fail 2.3 MB ● Penerbit Springer New York ● Bandar raya NY ● Negara US ● Diterbitkan 2009 ● Edisi 2 ● Muat turun 24 bulan ● Mata wang EUR ● ID 2149865 ● Salin perlindungan Adobe DRM
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