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: Global Optimization
    sub title: A Stochastic Approach
  name:
    name part: Schäffler, Stefan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 148 p. online resource.
  abstract: This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on large scale problems. It also introduces a new unified concept for unconstrained, constrained, vector, and stochastic global optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail. The topics presented include the randomized curve of steepest descent, the randomized curve of dominated points, the semi-implicit Euler method, the penalty approach, and active set strategies. The optimal decoding of block codes in digital communications is worked out as a case study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications.
  table of contents: Preface -- Introduction -- Preliminaries -- The Approach -- Theoretical Results -- The Algorithm -- Numerical Results -- References -- Index.
  note: by Stefan Schäffler.
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Mathematics
  subject:
    topic: Optimization
  subject:
    topic: Operations Research, Management Science
  classification: QA402.5-402.6
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Operations Research and Financial Engineering
  identifier: 9781461439271
  identifier: http://dx.doi.org/10.1007/978-1-4614-3927-1
  record info:
    record creation date: 120625
    record change date: 20151125192700.0
    record identifier: 978-1-4614-3927-1