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Numerical Methods for Stochastic Computations: A Spectral Method Approach

The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral m...

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Detalles Bibliográficos
Autor principal: Xiu, Dongbin
Lenguaje:eng
Publicado: Princeton University Press 2010
Materias:
Acceso en línea:http://cds.cern.ch/record/1338490
Descripción
Sumario:The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory; describes the basic theory of gPC meth