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: Stochastic Equations for Complex Systems
    sub title: Theoretical and Computational Topics
  name:
    name part: Heinz, Stefan.
    role:
      role term: editor.
  name:
    name part: Bessaih, Hakima.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 192 p. 42 illus., 33 illus. in color. online resource.
  abstract: Mathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes. Given the random nature of such systems and the recognized relevance of randomness, the equations used to describe such systems usually need to involve stochastics. The basic goal of this book is to introduce the mathematics and application of stochastic equations used for the modeling of complex systems. A first focus is on the introduction to different topics in mathematical analysis. A second focus is on the application of mathematical tools to the analysis of stochastic equations. A third focus is on the development and application of stochastic methods to simulate turbulent flows as seen in reality. This book is primarily oriented towards mathematics and engineering PhD students, young and experienced researchers, and professionals working in the area of stochastic differential equations and their applications. It contributes to a growing understanding of concepts and terminology used by mathematicians, engineers, and physicists in this relatively young and quickly expanding field. .
  table of contents: Stochastic differential equations -- Malliavin Calculus -- Monte Carlo methods -- Multiscale models -- Molecular dynamics -- Stochastic methods for turbulent flows.
  note: edited by Stefan Heinz, Hakima Bessaih.
  subject:
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Probabilities
  subject:
    topic: Statistical physics
  subject:
    topic: Complexity, Computational
  subject:
    topic: Fluid mechanics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Engineering Fluid Dynamics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Nonlinear Dynamics
  subject:
    topic: Complexity
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Mathematical Engineering
  identifier: 9783319182063
  identifier: http://dx.doi.org/10.1007/978-3-319-18206-3
  record info:
    record creation date: 150506
    record change date: 20151029221053.0
    record identifier: 978-3-319-18206-3