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: High Performance Optimization
  name:
    name part: Frenk, Hans.
    role:
      role term: creator
  name:
    name part: Roos, Kees.
  name:
    name part: Terlaky, Tamás.
  name:
    name part: Zhang, Shuzhong.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xxii, 476 pages)
  abstract: For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.
  note: edited by Hans Frenk, Kees Roos, Tamás Terlaky, Shuzhong Zhang.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: System theory
  subject:
    topic: Number theory
  subject:
    topic: Mathematical optimization
  classification: QA1-939
  classification: 510
  related item:
    title info:
      title: Applied optimization ; 33
  identifier: 9781475732160 (electronic bk.)
  identifier: 1475732163 (electronic bk.)
  identifier: 9781441948199
  identifier: 1441948198
  identifier: 1475732163
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 130410
    record change date: 20260420200041.9
    record identifier: in00003568714
    language of cataloging:
      language term: eng