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: Mixed Integer Nonlinear Programming
  name:
    name part: Lee, Jon.
    role:
      role term: editor.
  name:
    name part: Leyffer, Sven.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 692 p. online resource.
  abstract: Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances.
  table of contents: Foreword -- Preface.-Algorithms and software for convex mixed integer nonlinearprograms.- Subgradient based outer approximation for mixed integer secondorder cone programming.-Perspective reformulation and applications -- Generalized disjunctive programming: A framework for formulation and alternative algorithms for MINLP optimization.-Disjunctive cuts for nonconvex MINLP -- Sequential quadratic programming methods -- Using interior-point methods within an outer approximation framework for mixed integer nonlinear programming -- Using expression graphs in optimization algorithms -- Symmetry in mathematical programming -- Using piecewise linear functions for solving MINLPs -- An algorithmic framework for MINLP with separable non-convexity -- Global optimization of mixed-integer signomial programming problems.-The MILP road to MIQCP -- Linear programming relaxations of quadratically constrained quadratic programs -- Extending a CIP framework to solve MIQCPs -- Computation with polynomial equations and inequalities arisingin combinatorial optimization.- Matrix relaxations in combinatorial optimization -- A polytope for a product of real linear functions in 0/1 variables -- On the complexity of nonlinear mixed-integer optimization -- Theory and applications of n-fold integer programming -- MINLP Application for ACH interiors restructuring -- A benchmark library of mixed-integer optimal control problems.
  note: edited by Jon Lee, Sven Leyffer.
  subject:
    topic: Mathematics
  subject:
    topic: Approximation theory
  subject:
    topic: Algorithms
  subject:
    topic: Mathematical optimization
  subject:
    topic: Mathematics
  subject:
    topic: Approximations and Expansions
  subject:
    topic: Algorithms
  subject:
    topic: Continuous Optimization
  classification: QA401-425
  classification: 511.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: The IMA Volumes in Mathematics and its Applications, 154
  identifier: 9781461419273
  identifier: http://dx.doi.org/10.1007/978-1-4614-1927-3
  record info:
    record creation date: 111201
    record change date: 20151125231235.0
    record identifier: 978-1-4614-1927-3