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: Decision Diagrams for Optimization
  name:
    name part: Bergman, David.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Cire, Andre A.
    role:
      role term: author.
  name:
    name part: van Hoeve, Willem-Jan.
    role:
      role term: author.
  name:
    name part: Hooker, John.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 254 p. 79 illus. online resource.
  abstract: This book introduces a novel approach to discrete optimization, providing both theoretical insights and algorithmic developments that lead to improvements over state-of-the-art technology. The authors present chapters on the use of decision diagrams for combinatorial optimization and constraint programming, with attention to general-purpose solution methods as well as problem-specific techniques. The book will be useful for researchers and practitioners in discrete optimization and constraint programming. "Decision Diagrams for Optimization is one of the most exciting developments emerging from constraint programming in recent years. This book is a compelling summary of existing results in this space and a must-read for optimizers around the world." [Pascal Van Hentenryck].
  table of contents: Introduction -- Historical Overview -- Exact Decision Diagrams -- Relaxed Decision Diagrams -- Restricted Decision Diagrams -- Branch-and-Bound Based on Decision Diagrams -- Variable Ordering -- Recursive Modeling -- MDD-Based Constraint Programming -- MDD Propagation for Sequence Constraints -- Sequencing and Single-Machine Scheduling -- Index.
  note: by David Bergman, Andre A. Cire, Willem-Jan van Hoeve, John Hooker.
  subject:
    topic: Computer science
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Management science
  subject:
    topic: Mathematical optimization
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Discrete Optimization
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Theory of Computation
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Artificial Intelligence: Foundations, Theory, and Algorithms
  identifier: 9783319428499
  identifier: http://dx.doi.org/10.1007/978-3-319-42849-9
  record info:
    record creation date: 161006
    record change date: 20161006071333.0
    record identifier: 978-3-319-42849-9