Cover of: Theory of Global Random Search | Anatoly A. Zhigljavsky

Theory of Global Random Search

  • 364 Pages
  • 0.85 MB
  • 4178 Downloads
  • English
by
Springer
Applied mathematics, Computer Programming, Search theory, Mathematics, Science/Mathematics, Stochastic Processes, Linear Programming, Operations Research, Probability & Statistics - General, Business & Economics-Operations Research, Mathematics / Linear Programming, Mathematics / Statistics, Mathematics-Linear Programming, Mathematical optimiz
ContributionsJános D. Pintér (Editor)
The Physical Object
FormatHardcover
ID Numbers
Open LibraryOL7806535M
ISBN 100792311221
ISBN 139780792311225

Theory of Global Random Search. Authors: Zhigljavsky, Anatoly A. Editors: Pintér, János D. (Ed.) Free Preview. Global Optimization Theory: General Concepts -- 2. Global Optimization Methods -- 2. Global Random Search -- 3.

Main Concepts and Approaches of Global Random Search -- 4. Statistical Inference in Global Random Search -- 5. Methods of Generations -- 6. Random Search Algorithms for Solving Specific Problems -- 3.

Auxiliary Results -- 7. Theory of Global Random Search. Authors (view affiliations) Anatoly A. Zhigljavsky; Editors; J.

Details Theory of Global Random Search FB2

Pintér Search within book. Front Matter. Pages i-xviii. PDF. Global Optimization: An Overview Theory of Global Random Search book A. Zhigljavsky, J. Pintér. Pages Global Random Search. Main Concepts and Approaches of Global Random Search. Anatoly A. Zhigljavsky.

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Theory of Global Random Search (Mathematics and its Applications) st Edition by Anatoly A. Zhigljavsky (Author), János D. Pintér (Editor) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

Cited by: Search the world's most comprehensive index of full-text books. My library. Global optimization is a branch of applied mathematics and numerical analysis that attempts to find the global minima or maxima of a function or a set of functions on a given set. It is usually described as a minimization problem because the maximization of the real-valued function () is obviously equivalent to the minimization of the function ():= (−) ⋅ ().

Zhigljavsky A.A., Pintér J. () Random Search Algorithms for Solving Specific Problems. In: Pintér J. (eds) Theory of Global Random Search.

Mathematics and Its Author: Anatoly A.

Description Theory of Global Random Search EPUB

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