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: Entropy Optimization and Mathematical Programming
  name:
    name part: Fang, S.-C.
    role:
      role term: creator
  name:
    name part: Rajasekera, J. R.
  name:
    name part: Tsao, H.-S. J.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 1997
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (x, 343 pages)
  abstract: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.
  note: by S.-C. Fang, J. R. Rajasekera, H.-S. J. Tsao.
  note: Electronic resource.
  subject:
    topic: Economics
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Economics
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: International series in operations research & management science ; 8
  identifier: 9781461561316 (electronic bk.)
  identifier: 1461561310 (electronic bk.)
  identifier: 9781461378105
  identifier: 1461378109
  identifier: 1461561310
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422220742.2
    record identifier: in00003562970
    language of cataloging:
      language term: eng