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: Scientific Computing
    sub title: Vol. II - Eigenvalues and Optimization
  name:
    name part: Trangenstein, John A.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    edition: 1st ed. 2017.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 600 p. 645 illus., 111 illus. in color. online resource.
  abstract: This is the second of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses more advanced topics than volume one, and is largely not a prerequisite for volume three. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 49 examples, 110 exercises, 66 algorithms, 24 interactive JavaScript programs, 77 references to software programs and 1 case study. Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in LAPACK, GSLIB and MATLAB. This book could be used for a second course in numerical methods, for either upper level undergraduates or first year graduate students. Parts of the text could be used for specialized courses, such as nonlinear optimization or iterative linear algebra.
  table of contents: 1. Eigenvalues and Eigenvectors -- 2. Iterative Linear Algebra -- 3. Nonlinear Systems -- 4. Constrained Optimization -- References -- Author Index.
  note: by John A. Trangenstein.
  subject:
    topic: Computer mathematics
  subject:
    topic: Differential equations
  subject:
    topic: Mathematical optimization
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Ordinary Differential Equations
  subject:
    topic: Optimization
  classification: QA71-90
  classification: 518
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Texts in Computational Science and Engineering, 19
  identifier: 9783319691077
  identifier: https://doi.org/10.1007/978-3-319-69107-7
  record info:
    record creation date: 180514
    record change date: 20191024122413.0
    record identifier: 978-3-319-69107-7