Results 281 to 290 of about 5,020,641 (311)

Global Optimization

2013
This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as • complexity, • heuristic methods, • derivation of lower bounds for minimization problems, and • branch-and-bound methods and convergence.
Marco Locatelli, SCHOEN, FABIO
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On a Method of Global Optimization

2003
The usual optimization problem, in eventually introducing some further new variables, may be put in the following form: Optimization Problem O.
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Optimization-Oriented Global Constraints

Constraints, 2002
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Focacci F., Lodi A., Milano M.
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An optimality criterion for global quadratic optimization

Journal of Global Optimization, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Optimization of Multiplicative Programs

Journal of Global Optimization, 2003
The following two optimization problems are considered: Linear Multiplicative Problem (LMP); Generalized Linear Multiplicative Problem (GLMP). The LMP consists in finding the global minimum of the objective function, which is equal to the product of a finite number of linear functions, under linear constraints; it is assumed that all variables are ...
Hong-Seo Ryoo, Nikolaos V. Sahinidis
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Globally optimal direction fields

ACM Transactions on Graphics, 2013
We present a method for constructing smooth n -direction fields (line fields, cross fields, etc .) on surfaces that is an order of magnitude faster than state-of-the-art methods, while still producing fields of equal or better quality. Fields produced by the method are globally optimal in the
Knöppel, Felix, Crane, Keenan, Pinkall, Ulrich, Schröder, Peter   +3 more
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Stochastic Global Optimization.

2008
This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-based random search methods, methods based on ...
Zhigljavsky, Anatoly, Žilinskas, Antanas   +1 more
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Global Optimization of Econometric Functions

Journal of Global Optimization, 2001
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Max E. Jerrell, Wendy A. Campione
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Bayesian methods in global optimization

Journal of Global Optimization, 1991
The paper reviews methods which have been proposed for solving global optimization problems in the framework of the Bayesian paradigm. Three main approaches are singled out. In the first approach, called the Random Function Approach, methods are based on the idea of introducing a probabilistic model for the objective function in the form of a random ...
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Global Optimization by Monotonic Transformation

Computational Optimization and Applications, 2002
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