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: Online Optimization of Large Scale Systems
  name:
    name part: Grötschel, Martin.
    role:
      role term: creator
  name:
    name part: Krumke, Sven O.
  name:
    name part: Rambau, Jörg.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2001
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xii, 803 pages)
  abstract: Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is: incomplete data; and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast, fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization: linear, nonlinear, integer, stochastic. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems". This volume contains "background articles" and "research articles". Background articles are intended to give an overview over the basic theory in the respective area and are accessible to graduate math students. Research articles summarize the progress in a project achieved in the Priority Programme.
  table of contents: I. Optimal Control for Ordinary Differential Equations -- II. Optimal Control for Partial Differential Equations -- III. Moving Horizon Methods in Chemical Engineering -- IV. Delay Differential Equations in Medical Decision Support Systems -- V. Stochastic Optimization in Chemical Engineering -- VI. Stochastic Trajectory Planning in Robot Control -- VII. Integer Stochastic Programming -- VIII. Combinatorial Online Planning in Transportation -- IX. Real-Time Annealing in Image Segmentation.
  note: edited by Martin Grötschel, Sven O. Krumke, Jörg Rambau.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: Computer science
  subject:
    topic: Mathematical optimization
  subject:
    topic: Engineering mathematics
  subject:
    topic: Operations research
  subject:
    topic: Computer science
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematical optimization
  subject:
    topic: Mathematics
  subject:
    topic: Operations research
  classification: QA315-316
  classification: QA402.3
  classification: QA402.5-QA402.6
  classification: 515.64
  identifier: 9783662043318 (electronic bk.)
  identifier: 3662043319 (electronic bk.)
  identifier: 9783642076336
  identifier: 3642076335
  identifier: 3662043319
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 130202
    record change date: 20260420204745.0
    record identifier: in00003557565
    language of cataloging:
      language term: eng