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: Approximation Methods for Polynomial Optimization
    sub title: Models, Algorithms, and Applications
  name:
    name part: Li, Zhening.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: He, Simai.
    role:
      role term: author.
  name:
    name part: Zhang, Shuzhong.
    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: VIII, 124 p. online resource.
  abstract: Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications. This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science.
  table of contents: 1. Introduction.-2. Polynomial over the Euclidean Ball -- 3. Extensions of the Constraint Sets -- 4. Applications -- 5. Concluding Remarks.
  note: by Zhening Li, Simai He, Shuzhong Zhang.
  subject:
    topic: Mathematics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Algorithms
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematical optimization
  subject:
    topic: Mathematics
  subject:
    topic: Optimization
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Algorithms
  subject:
    topic: Applications of Mathematics
  classification: QA402.5-402.6
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Optimization
  identifier: 9781461439844
  identifier: http://dx.doi.org/10.1007/978-1-4614-3984-4
  record info:
    record creation date: 120723
    record change date: 20151030211420.0
    record identifier: 978-1-4614-3984-4