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: Linear and Nonlinear Programming
  name:
    name part: Luenberger, David G.
    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: Ye, Yinyu.
    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
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 5th ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XV, 609 pages 92 illustrations)
  abstract: The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters. The material is organized into three separate parts. Part I offers a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. In turn, Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. As such, Parts II and III can easily be used without reading Part I and, in fact, the book has been used in this way at many universities. New to this edition are popular topics in data science and machine learning, such as the Markov Decision Process, Farkas' lemma, convergence speed analysis, duality theories and applications, various first-order methods, stochastic gradient method, mirror-descent method, Frank-Wolf method, ALM/ADMM method, interior trust-region method for non-convex optimization, distributionally robust optimization, online linear programming, semidefinite programming for sensor-network localization, and infeasibility detection for nonlinear optimization.
  table of contents: 1. Introduction -- Part I: Linear Programming -- 2. Basic Properties of Linear Programs -- 3. Duality and Complementarity -- 4. The Simplex Method -- 5. Interior-Point Methods -- 6. Conic Linear Programming -- Part II: Unconstrained Problems -- 7. Basic Properties of Solutions and Algorithms -- 8. Basic Descent Methods -- 9. Conjugate Direction Methods -- 10. Quasi-Newton Methods -- Part III: Constrained Optimization -- 11. Constrained Optimization Conditions -- 12. Primal Methods -- 13. Penalty and Barrier Methods -- 14. Local Duality and Dual Methods -- 15. Primal-Dual Methods.
  note: by David G. Luenberger, Yinyu Ye.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Management science
  subject:
    topic: Mathematical models
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 228
  identifier: 9783030854508
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 211031
    record change date: 20230330185139.3
    record identifier: in00004375931