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: Nonlinear Combinatorial Optimization
  name:
    name part: Du, Ding-Zhu.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pardalos, Panos M.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Zhang, Zhao.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 315 p. 29 illus., 9 illus. in color. online resource.
  abstract: Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Nonlinear combinatorial optimization is a new research area within combinatorial optimization and includes numerous applications to technological developments, such as wireless communication, cloud computing, data science, and social networks. Theoretical developments including discrete Newton methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed and explored in this book through articles by leading experts.
  table of contents: A role of minimum spanning tree -- Discrete Newton method -- An overview of submodular optimization: single- and multi-objectives -- Discrete convex optimization and applications in supply chain management -- Thresholding methods for streaming submodular maximization with a cardinality constraint and its variants -- Nonsubmodular optimization -- On block-structured integer programming and its applications -- Online combinatorial optimization problems with nonlinear objectives -- Solving combinatorial problems with machine learning methods -- Modeling malware propagation dynamics and developing prevention method in wireless sensor networks -- Composed influence in social networks -- Friending -- Optimization on content spread in social network studies -- Interation-aware influence maximization in social networks -- Multi-document extractive summarization as a nonlinear combinatorial optimization- Viral marketing for complementary products.
  note: edited by Ding-Zhu Du, Panos M. Pardalos, Zhao Zhang.
  subject:
    topic: Calculus of variations
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Combinatorics
  subject:
    topic: Convex geometry
  subject:
    topic: Discrete geometry
  subject:
    topic: Algorithms
  subject:
    topic: Topology
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  subject:
    topic: Data Structures and Information Theory
  subject:
    topic: Combinatorics
  subject:
    topic: Convex and Discrete Geometry
  subject:
    topic: Algorithms
  subject:
    topic: Topology
  classification: QA315-316
  classification: QA402.3
  classification: 515.64
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Optimization and Its Applications, 147
  identifier: 9783030161941
  identifier: https://doi.org/10.1007/978-3-030-16194-1
  record info:
    record creation date: 190531
    record change date: 20191022051527.0
    record identifier: 978-3-030-16194-1