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: Large-Scale Nonlinear Optimization
  name:
    name part: Pillo, G. Di.
    role:
      role term: editor.
  name:
    name part: Roma, M.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 298 p. 44 illus. online resource.
  abstract: Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications. Audience This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.
  table of contents: Fast Linear Algebra for Multiarc Trajectory Optimization -- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization -- An O(n2) Algorithm for Isotonic Regression -- Knitro: An Integrated Package for Nonlinear Optimization -- On implicit-factorization constraint preconditioners -- Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum -- Numerical methods for separating two polyhedra -- Exact penalty functions for generalized Nash problems -- Parametric Sensitivity Analysis for Optimal Boundary Control of a 3D Reaction-Diffusion System -- Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization -- Conditions and parametric representations of approximate minimal elements of a set through scalarization -- Efficient methods for large-scale unconstrained optimization -- A variational approach for minimum cost flow problems -- Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models -- Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling -- The NEWUOA software for unconstrained optimization without derivatives.
  note: edited by G. Di Pillo, M. Roma.
  subject:
    topic: Mathematics
  subject:
    topic: Science
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Mathematics
  subject:
    topic: Optimization
  subject:
    topic: Science, general
  subject:
    topic: Operations Research, Management Science
  classification: QA402.5-402.6
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Nonconvex Optimization and Its Applications, 83
  identifier: 9780387300658
  identifier: http://dx.doi.org/10.1007/0-387-30065-1
  record info:
    record creation date: 100301
    record change date: 20151204160918.0
    record identifier: 978-0-387-30065-8