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: Modeling and Optimization: Theory and Applications
    sub title: MOPTA, Bethlehem, PA, USA, August 2016 Selected Contributions
  name:
    name part: Takáč, Martin.
    role:
      role term: editor.
  name:
    name part: Terlaky, Tamás.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 162 p. 15 illus., 14 illus. in color. online resource.
  abstract: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 17-19, 2016. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of deterministic and stochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.
  table of contents: Stochastic Decision Problems with Multiple Risk-averse Agents (Getachew K. Befekadu, Alexander Veremyev, Vladimir Boginski, Eduardo L. Pasiliao) -- Optimal Packing of General Ellipses in a Circle (Frank J. Kampas, János D. Pintér, Ignacio Castillo) -- Column Generation Approach to the Convex Recoloring Problem on a Tree (Sunil Chopra, Ergin Erdem, Eunseok Kim, Sangho Shim) -- A Variational Inequality Formulation of a Migration Model with Random Data (Baasansuren Jadamba, Fabio Raciti) -- Identification in Mixed Variational Problems by Adjoint Methods with Applications (M. Cho, B. Jadamba, A. A. Khan, A. A. Oberai, M. Sama) -- Minimization of the Lp-norm, p ≥ 1 of Dirichlet-type Boundary Controls for the 1D Wave Equation (Ilya Smirnov, Anastasia Dmitrieva) -- Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption (Jie Liu and Martin Takáč) -- Exact Separation of k-Projection Polytope Constraints (Elspeth Adams, Miguel F. Anjos) -- Univariate Polynomial Optimization with Sum-of-Squares Interpolants (Dávid Papp).
  note: edited by Martin Takáč, Tamás Terlaky.
  subject:
    topic: Mathematics
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Mathematical optimization
  subject:
    topic: Mathematics
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Continuous Optimization
  subject:
    topic: Discrete Optimization
  classification: QA402-402.37
  classification: T57.6-57.97
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 213
  identifier: 9783319666167
  identifier: http://dx.doi.org/10.1007/978-3-319-66616-7
  record info:
    record creation date: 171031
    record change date: 20171031162957.0
    record identifier: 978-3-319-66616-7