Global optimization in action: Continuous and Lipschitz optimization

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In many cases of practical relevance, the optimization problem structure does not warrant the global optimality of local solutions; hence, it is natural to search for the globally best solution s. Global Optimization in Action provides a comprehensive discussion of adaptive partition strategies to solve global optimization problems under very general structural requirements. A unified approach to numerous known algorithms makes possible straightforward generalizations and extensions, leading to efficient computer-based implementations.

A considerable part of the book is devoted to applications, including some generic problems from numerical analysis, and several case studies in environmental systems analysis and management. The book is essentially self-contained and is based on the author's research, in cooperation on applications with a number of colleagues. Audience: Professors, students, researchers and other professionals in the fields of operations research, management science, industrial and applied mathematics, computer science, engineering, economics and the environmental sciences.

Global Optimization Janos D Pinter. Bliek, Ch. Boender, C.

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Horst and Pardalos. Dordrecht, Netherlands: Kluwer, pp. Bomze, I. Developments in Global Optimization. Dordrecht, Netherlands: Kluwer, Diener, I. Dordrecht, Netherlands: Kluwer pp. Dill, K. Bomze, T. Horst, and P. Floudas, C. Forster, W.

Book covers

Fourer, R. Glover, F. Tabu Search. Goldberg, D. Reading, MA: Addison-Wesley, Gray, P. Hansen, E. Global Optimization Using Interval Analysis. New York: Dekker, Horst, R. Handbook of Global Optimization.

  • Ismétlődő idézetek.
  • Global Optimization in Action | SpringerLink;
  • Kundrecensioner.
  • Gissing in Context.

Global Optimization: Deterministic Approaches, 3rd ed. Berlin: Springer-Verlag, Kearfott, R. Rigorous Global Search: Continuous Problems.

(PDF) A partition-based global optimization algorithm | Veronica Piccialli -

Levy, A. Philadelphia: SIAM, pp. Michalewicz, Z. Mittelmann, H. Mockus J.

Constrained optimization introduction

Bayesian Approach to Global Optimization. Mockus, J. Neumaier, A. Interval Methods for Systems of Equations. Cambridge, England: Cambridge University Press, Osman, I. Meta-Heuristics: Theory and Applications. Global Optimization in Action.

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Dordrecht, Netherlands: Kluwer, a. Pardalos and H.

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Ratschek, H. Horst and P. Global Optimization.

New York: Springer-Verlag, Van Laarhoven, P. Simulated Annealing: Theory and Applications.

Voss, S. Zhigljavsky, A. Theory of Global Random Search. Explore thousands of free applications across science, mathematics, engineering, technology, business, art, finance, social sciences, and more. Walk through homework problems step-by-step from beginning to end. Hints help you try the next step on your own. Unlimited random practice problems and answers with built-in Step-by-step solutions. Practice online or make a printable study sheet.

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