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: Algorithm Engineering
    sub title: Selected Results and Surveys
  name:
    name part: Kliemann, Lasse.
    role:
      role term: editor.
  name:
    name part: Sanders, Peter.
    role:
      role term: editor.
  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: X, 419 p. 68 illus. online resource.
  abstract: Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.
  table of contents: Engineering a Lightweight and Efficient Local Search SAT Solver -- Route Planning in Transportation Networks -- Theoretical Analysis of the k-Means Algorithm - A Survey -- Recent Advances in Graph Partitioning -- How to Generate Randomized Roundings with Dependencies and How to Derandomize Them -- External-Memory State Space Search -- Algorithm Engineering Aspects of Real-Time Rendering Algorithms -- Algorithm Engineering in Robust Optimization -- Clustering Evolving Networks -- Integrating Sequencing and Scheduling: A Generic Approach with Two Exemplary Industrial Applications -- Engineering a Bipartite Matching Algorithm in the Semi-Streaming Model -- Engineering Art Galleries.
  note: edited by Lasse Kliemann, Peter Sanders.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Discrete Mathematics in Computer Science
  classification: QA76.9.A43
  classification: 005.1
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 9220
  identifier: 9783319494876
  identifier: http://dx.doi.org/10.1007/978-3-319-49487-6
  record info:
    record creation date: 161110
    record change date: 20161110160822.0
    record identifier: 978-3-319-49487-6