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: Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
  name:
    name part: Venkateswarlu, Ch.
    role:
      role term: creator
  name:
    name part: Jujjavarapu, Satya Eswari.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (312 pages) : illustrations
  table of contents: Front Cover; Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes; Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processe ... ; Copyright; Contents; About the authors; Preface; 1 -- Basic features and concepts of optimization; 1.1 Introduction; 1.2 Basic features; 1.2.1 Optimization and its benefits; 1.2.2 Scope for optimization; 1.2.3 Illustrative examples; 1.2.4 Essential requisites for optimization; 1.3 Basic concepts; 1.3.1 Functions in optimization
  table of contents: 1.3.2 Interpretation of behavior of functions1.3.3 Maxima and minima of functions; 1.3.4 Region of search for constrained optimization; 1.4 Classification and general procedure; 1.4.1 Classification of optimization problems; 1.4.2 General procedure of solving optimization problems; 1.4.3 Bottlenecks in optimization; 1.5 Summary; References; 2 -- Classical analytical methods of optimization; 2.1 Introduction; 2.2 Statement of optimization problem; 2.3 Analytical methods for unconstrained single-variable functions; 2.3.1 Necessary and sufficient conditions
  table of contents: 2.3.2 Sufficient conditions for convexity and concavity of a function2.4 Analytical methods for unconstrained multivariable functions; 2.4.1 Necessary and sufficient conditions; 2.4.2 Two-variable function; 2.4.3 Multivariable function; 2.5 Analytical methods for multivariable optimization problems with equality constraints; 2.5.1 Direct substitution; 2.5.2 Penalty function approach; 2.5.3 Method of Lagrange multipliers; 2.5.3.1 Necessary condition for a basic problem; 2.5.3.2 Necessary condition for a general problem; 2.5.3.3 Sufficient conditions for a general problem
  table of contents: 2.6 Analytical methods for solving multivariable optimization problems with inequality constraints2.6.1 Kuhn-Tucker conditions for problems with inequality constraints; 2.6.2 Kuhn-Tucker conditions for problems with inequality and equality constraints; 2.7 Limitations of classical optimization methods; 2.8 Summary; References; 3 -- Numerical search methods for unconstrained optimization problems; 3.1 Introduction; 3.2 Classification of numerical search methods; 3.2.1 Direct search methods; 3.2.2 Gradient search methods; 3.3 One-dimensional gradient search methods; 3.3.1 Newton's method
  table of contents: 3.3.2 Quasi-Newton method3.3.3 Secant method; 3.4 Polynomial approximation methods; 3.4.1 Quadratic interpolation method; 3.4.2 Cubic interpolation method; 3.5 Multivariable direct search methods; 3.5.1 Univariate search method; 3.5.2 Hooke-Jeeves pattern search method; 3.5.2.1 Exploratory move; 3.5.2.2 Pattern move; 3.5.3 Powell's conjugate direction method; 3.5.4 Nelder-Mead simplex method; 3.6 Multivariable gradient search methods; 3.6.1 Steepest descent method; 3.6.2 Multivariable Newton's method; 3.6.3 Conjugate gradient method; 3.7 Summary; References
  table of contents: 4 -- Stochastic and evolutionary optimization algorithms
  note: Ch. Venkateswarlu, Satya Eswari Jujjavarapu.
  note: Includes bibliographical references and index.
  subject:
    topic: Stochastic processes
  subject:
    topic: Stochastic Processes
  subject:
    topic: Processus stochastiques
  subject:
    topic: Stochastic processes
  classification: QA274
  classification: 519.2/3
  related item:
    title info:
      title: Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
    name:
      name part: Venkateswarlu, Ch.
    origin info:
      publisher: San Diego : Elsevier, ©2019
  identifier: 9780128173930
  identifier: 0128173939
  identifier: 9780128173923
  identifier: 0128173920
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 191123
    record change date: 20260327163831.4
    record identifier: in00005765844
    language of cataloging:
      language term: eng