rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Numerical Methods for Stochastic Partial Differential Equations with White Noise
  name:
    name part: Zhang, Zhongqiang.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Karniadakis, George Em.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 394 p. 36 illus., 34 illus. in color. online resource.
  abstract: This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. The book begins with some motivational and background material in the introductory chapters and is divided into three parts. Part I covers numerical stochastic ordinary differential equations. Here the authors start with numerical methods for SDEs with delay using the Wong-Zakai approximation and finite difference in time. Part II covers temporal white noise. Here the authors consider SPDEs as PDEs driven by white noise, where discretization of white noise (Brownian motion) leads to PDEs with smooth noise, which can then be treated by numerical methods for PDEs. In this part, recursive algorithms based on Wiener chaos expansion and stochastic collocation methods are presented for linear stochastic advection-diffusion-reaction equations. In addition, stochastic Euler equations are exploited as an application of stochastic collocation methods, where a numerical comparison with other integration methods in random space is made. Part III covers spatial white noise. Here the authors discuss numerical methods for nonlinear elliptic equations as well as other equations with additive noise. Numerical methods for SPDEs with multiplicative noise are also discussed using the Wiener chaos expansion method. In addition, some SPDEs driven by non-Gaussian white noise are discussed and some model reduction methods (based on Wick-Malliavin calculus) are presented for generalized polynomial chaos expansion methods. Powerful techniques are provided for solving stochastic partial differential equations. This book can be considered as self-contained. Necessary background knowledge is presented in the appendices. Basic knowledge of probability theory and stochastic calculus is presented in Appendix A. In Appendix B some semi-analytical methods for SPDEs are presented. In Appendix C an introduction to Gauss quadrature is provided. In Appendix D…
  table of contents: Preface -- Prologue -- Brownian Motion and Stochastic Calculus -- Numerical Methods for Stochastic Differential Equations -- Part I Stochastic Ordinary Differential Equations -- Numerical Schemes for SDEs with Time Delay Using the Wong-Zakai Approximation -- Balanced Numerical Schemes for SDEs with non-Lipschitz Coefficients -- Part II Temporal White Noise -- Wiener Chaos Methods for Linear Stochastic Advection-Diffusion-Reaction Equations -- Stochastic Collocation Methods for Differential Equations with White Noise -- Comparison Between Wiener Chaos Methods and Stochastic Collocation Methods -- Application of Collocation Method to Stochastic Conservation Laws -- Part III Spatial White Noise -- Semilinear Elliptic Equations with Additive Noise -- Multiplicative White Noise: The Wick-Malliavin Approximation -- Epilogue -- Appendices -- A. Basics of Probability -- B. Semi-analytical Methods for SPDEs -- C. Gauss Quadrature -- D. Some Useful Inequalities and Lemmas -- E. Computation of Convergence Rate.
  note: by Zhongqiang Zhang, George Em Karniadakis.
  subject:
    topic: Mathematics
  subject:
    topic: Partial differential equations
  subject:
    topic: Numerical analysis
  subject:
    topic: Probabilities
  subject:
    topic: Mathematics
  subject:
    topic: Numerical Analysis
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Partial Differential Equations
  classification: QA297-299.4
  classification: 518
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Applied Mathematical Sciences, 196
  identifier: 9783319575117
  identifier: http://dx.doi.org/10.1007/978-3-319-57511-7
  record info:
    record creation date: 170901
    record change date: 20170901111748.0
    record identifier: 978-3-319-57511-7