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.
Table des matières
Preliminaries.- Probability.- Brownian Motion.- Stationary Stochastic Processes.- Statistical Mechanics.- Time-Dependent Statistical Mechanics.
Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !
Langue Anglais ● Format PDF ● Pages 162 ● ISBN 9781441910028 ● Taille du fichier 2.3 MB ● Maison d’édition Springer New York ● Lieu NY ● Pays US ● Publié 2009 ● Édition 2 ● Téléchargeable 24 mois ● Devise EUR ● ID 2149865 ● Protection contre la copie Adobe DRM
Nécessite un lecteur de livre électronique compatible DRM