5 edition of Abstract convexity and global optimization found in the catalog.
Abstract convexity and global optimization
Aleksandr Moiseevich Rubinov
Includes bibliographical references (p. 471-488) and index.
|Statement||by Alexander Rubinov.|
|Series||Nonconvex optimization and its applications -- v. 44|
|LC Classifications||QA402.5 .R75 2000|
|The Physical Object|
|Pagination||xviii, 490 p. ;|
|Number of Pages||490|
|LC Control Number||00039102|
Qi, K. Dinh and J. Crouzeix, J. Lohse, "Optimality conditions in bilevel programming," OptimizationVol 55,pp Persson, Some inequalities of Hadamard type, Soochow J.
Yang, eds. Deb, M. A distinctive feature is a strong emphasis on the connection between theory and application. Allen Stenger is a math hobbyist and retired software developer.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. More services and features. Dutta and B. Dutta and A. Voile, eds.
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Teo and X. It describes itself as a Ph. The final prices may differ from the prices shown due to specifics of VAT rules About this book Special tools are required for examining and solving optimization problems.
Dempe, "Bilevel programming Abstract convexity and global optimization book convex lower level problems,'' Optimization with multivalued mappings, ppSpringer Optim.
Granted May Dutta, B. About this book Introduction Special tools are required for examining and solving optimization problems. Yang, eds. When requesting a correction, please mention this item's handle: RePEc:fth:pariem Vetrivel and J.
Vetrivel and S. We further describe the surprising applications of the ideas of abstract convexity to the study of Hadamard type inequalities for quasiconvex functions. The main emphasis is on applications to convex optimization and convex optimal control problems in Banach spaces.
This allows to link your profile to this item. Dutta, "Optimality conditions for maximizing a locally Lipschitz function," Optimization, Vol 54,pp Dutta, An optimality theory based proximity measure for evolutionary multiobjective and many objective optimization.
It also turns out that most optimization problems that are important in practice can be expressed in terms of dc functions and dc regions, so this is a very powerful approach. Singer, Downward sets and their separation and approximation properties, Journal of Global Optimization, 23,11— Access and download statistics Corrections All material on this site has been provided by the respective publishers and authors.
Rubinov and J. Google Scholar  Birkhoff, G. Regina Burachik, J. See general information about how to correct material in RePEc.
Durea, J. Dragomir, J. Daniele, eds. We have no references for this item. Dutta, Abstract convexity and global optimization book type inequality for quasiconvex functions in higher dimensions, Journal of Mathematical Analysis and Applications, 80— This edition has been updated to include new results pertaining to advanced concepts of subdifferential for convex functions and new duality results in convex programming.
This is a preview of subscription content, log in to check access. Honours in Mathematics, St. Rubinov A. Voile, On quasiconvex duality, Math.The purpose of this paper is to extend Himmelberg's fixed point theorem replacing the usual convexity in topological vector spaces by an abstract topological notion of convexity which generalizes classical convexity as well as several metric convexity structures found in the literature.
We prove the existence, under weak hypothese, of a fixed point for a compact approachable map and we provide Author: H. Ben-El-Mechaiekh, S. Chebbi, M. Florenzano, J.-V.
Llinares. Abstract. In this paper we study the emerging area of abstract convexity. The theory of abstract convex functions and sets arises out of the properties of convex functions related to their global nature. One of the main applications of abstract convexity is global optimization.
Discrete Convexity and its Application to Convex Optimization on Discrete Time Scales Aykut Abstract convexity and global optimization book Western Kentucky University Department of Mathematics Bowling Green,USA [email protected] Abstract In this paper, we discuss convexity on n-dimensional discrete time scales T = T 1 T 2 T.Convex optimization is a subfield pdf mathematical optimization that studies the problem of minimizing convex pdf over convex 42comusa.com classes of convex optimization problems admit polynomial-time algorithms, whereas mathematical optimization is in general NP-hard.
Convex optimization has applications in a wide range of disciplines, such as automatic control systems, estimation and.Jan 01, · Semidefinite Optimization and Convex Algebraic Geometry download pdf Ebook written by Grigoriy Blekherman, Pablo A. Parrilo, Rekha R.
Thomas. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Semidefinite Optimization and Convex Algebraic Geometry.Jul 01, · A slim book such as this which touches on major ebook of ebook theory will be very much needed for most readers.
We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students.