Titlebook: Optimization Theory; Recent Developments Franco Giannessi,Panos Pardalos,Tamás Rapcsák Book 20011st edition Kluwer Academic Publishers 200

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Characterization of Monotone Operators by Using a Special Class of Preinvex Functions,.>.where <. , .> denotes the canonical scalar product of ... If . is hemicontinuous, it will be proved that . is monotone (with respect to duality) if and only if its scalar increment is preinvex in every point of ... A special class of preinvex functions, called starvex functions, will be introduce

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Two Approaches for Parallelizing the UEGO Algorithm,. The skeleton of the algorithm is a parallel hillclimber. The separate hillclimbers work in restricted search regions (or clusters) of the search space. The volume of the clusters decreases as the search proceeds which results in a cooling effect similar to simulated annealing. Вesides this, UEGO c

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peptic-ulcer

,Packing Equal Circles in a Square II. — New Results for up to 100 Circles Using the TAMSASS-PECS Alare. It will be shown that our procedure can find most of the optimal solutions for all the problems previously solved and reported in the literature. Results obtained by our algorithm for up to 100 circles are given in relevant numerical and graphical form. For . = 32, 37, 47, 62 and 72 the algorit

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A Minimization Problem in Function Spaces, bounded set and put supp(.):. {. ∈ ..: .(x) ≠ 0}. We call . if there is a function .. → .. which is periodic(mod .) and such that . (.) = .(.),[a.е.] . ∈ supp(.). We call the set . ⊆ . an . of . if (i) there are at least two . ∈ . such that . = a - ., . = . - . for some a, . ∈ supp(.), y, z ∈ . and

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1384-6485 Matrahaza, Hungary, between 27-31 March 1999. This conference was organized by the Laboratory of Operations Research and Deci­ sion Systems at the Computer and Automation Institute, Hungarian Academy of Sciences. The editors hope this volume will contribute to the theory and applications of mathema

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Biofeedback

A Bundle of Smooth Lagrangians in Mathematical Programming,such that the minimizer of the constrained problem is an inf-stationary point of the Lagrangian. However, a bundle of smooth Lagrangians exists such that the minimizer of the constrained problem is an inf-stationary point of each of these Lagrangians. This new phenomenon is promising and may be used to construct numerical algorithms.

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