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Stochastic partial differential equations

Most popular at the top

  • Stochastic Differential Equationsby Jaures Cecconi

    Springer Berlin Heidelberg 2011; US$ 35.29

    C. Doleans-Dade: Stochastic processes and stochastic differential equations.- A. Friedman: Stochastic differential equations and applications.- D.W. Stroock, S.R.S. Varadhan: Theory of diffusion processes.- G.C. Papanicolaou: Wave propagation and heat conduction in a random medium.- C. Dewitt Morette: A stochastic problem in Physics.- G.S. Goodman:... more...

  • Stochastic Processesby Toshio Nakagawa

    Springer London 2011; US$ 176.50

    Stochastic Processes covers useful reliability studies and applications, while providing an overview of stochastic processes. Examples from reliability models illustrate how to apply stochastic processes. more...

  • Stochastic Partial Differential Equations, Second Editionby Pao-Liu Chow

    CRC Press 2014; US$ 99.95

    Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in stochastic partial differential equations (PDEs) driven by the Lévy type of noise. Stochastic Partial Differential Equations, Second Edition incorporates these recent developments... more...

  • Stochastic Partial Differential Equationsby Pao-Liu Chow

    CRC Press 2007; US$ 99.95

    As a relatively new area in mathematics, stochastic partial differential equations (PDEs) are still at a tender age and have not yet received much attention in the mathematical community. Filling the void of an introductory text in the field, Stochastic Partial Differential Equations introduces PDEs to students familiar with basic probability theory... more...

  • Effective Dynamics of Stochastic Partial Differential Equationsby Jinqiao Duan; Wei Wang

    Elsevier Science 2014; US$ 69.95

    Effective Dynamics of Stochastic Partial Differential Equations focuses on stochastic partial differential equations with slow and fast time scales, or large and small spatial scales. The authors have developed basic techniques, such as averaging, slow manifolds, and homogenization, to extract effective dynamics from these stochastic partial differential... more...

  • Multi-Band Effective Mass Approximationsby Matthias Ehrhardt; Thomas Koprucki

    Springer International Publishing 2014; US$ 100.01

    This book addresses several mathematical models from the most relevant class of kp-Schrödinger systems. Both mathematical models and state-of-the-art numerical methods for adequately solving the arising systems of differential equations are presented. The operational principle of modern semiconductor nano structures, such as quantum wells, quantum... more...

  • Uncertainty Quantification and Stochastic Modeling with Matlabby Eduardo Souza de Cursi; Rubens Sampaio

    Elsevier Science 2015; US$ 185.00

    Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics,... more...

  • Stochastic Differential Inclusions and Applicationsby Michal Kisielewicz

    Springer New York 2013; US$ 129.43

    This book develops the theory of stochastic functional inclusions and applications for describing solutions of initial and boundary value problems for partial differential inclusions. Uses new, original methods to characterize stochastic functional inclusions. more...