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: Numerical methods and optimization
    sub title: an introduction
  title info:
    title: MATHnetBASE
  name:
    name part: Butenko, Sergiy
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Pardalos, Panos M.
    name part: 1954-
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  name:
    name part: Taylor and Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2014
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (412 pages) : 108 illustrations.
  abstract: For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods. Satisfying this prerequisite, Numerical Methods and Optimization: An Introduction combines the materials from introductory numerical methods and introductory optimization courses into a single text. This classroom-tested approach enriches a standard numerical methods syllabus with optional chapters on numerical optimization and provides a valuable numerical methods background for students taking an introductory OR or optimization course.
  table of contents: part I Basics -- chapter 1 Preliminaries -- chapter 2 Numbers and Errors -- part II Numerical Methods for Standard Problems -- chapter 3 Elements of Numerical Linear Algebra -- chapter 4 Solving Equations -- chapter 5 Polynomial Interpolation -- chapter 6 Numerical Integration -- chapter 7 Numerical Solution of Differential Equations -- part III Introduction to Optimization -- chapter 8 Basic Concepts -- chapter 9 Complexity Issues -- chapter 10 Introduction to Linear Programming -- chapter 11 The Simplex Method for Linear Programming -- chapter 12 Duality and Sensitivity Analysis in Linear Programming -- chapter 13 Unconstrained Optimization -- chapter 14 Constrained Optimization.
  note: by Sergiy Butenko and Panos M. Pardalos.
  subject:
    topic: Mathematical optimization
  subject:
    topic: Numerical analysis
  subject:
    topic: Numerische Mathematik
  subject:
    topic: Numerisk analys
  subject:
    topic: MATHEMATICS / Number Systems
  subject:
    topic: MATHEMATICS / Numerical Analysis
  subject:
    topic: TECHNOLOGY & ENGINEERING / Operations Research
  classification: QA297
  classification: 518
  related item:
    title info:
      title: Chapman & Hall/CRC numerical analysis and scientific computing series
  identifier: 9780429188428
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 180706
    record change date: 20220613180021.3
    record identifier: in00004581890