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: Automatic differentiation in MATLAB using ADMAT with applications
  name:
    name part: Coleman, Thomas F. (Thomas Frederick)
    name part: 1950-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Xu, Wei
    name part: (Mathematician)
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: pau
    date issued: 2016
    copyright date: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 105 pages : illustrations ; 26 cm.
  table of contents: Fundamentals of automatic differentiation and the use of ADMAT -- Products and sparse problems -- Using ADMAT with the MATLAB optimization toolbox -- Newton's method and optimization -- Structure -- Combining C/FORTRAN with ADMAT -- AD for inverse problems with an application to computational finance -- A template for structured problems -- R&D directions.
  note: Thomas F. Coleman, University of Waterloo, Waterloo, Ontario, Canada, Wei Xu, Tongji University, Shanghai, P.R. China, and Global Risk Institute, Toronto, Ontario, Canada.
  note: Includes bibliographical references and index.
  subject:
    title info:
      title: MATLAB
  subject:
    title info:
      title: ADMAT
  subject:
    topic: Numerical differentiation
  subject:
    topic: Mathematical optimization
  subject:
    topic: Automatic differentiation
  subject:
    topic: Financial engineering
    topic: Computer programs
  classification: QA355 .C59 2016
  classification: 518/.53028553
  related item:
    title info:
      title: Software, environments, tools
  identifier: 9781611974355
  identifier: 1611974356
  identifier: 2016009172
  record info:
    record content source: DLC
    record creation date: 160407
    record change date: 20170927100227.0
    record identifier: in00003717990