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000763473 019__ $$a961010630$$a962437053
000763473 020__ $$a9783319314846$$q(electronic book)
000763473 020__ $$a331931484X$$q(electronic book)
000763473 020__ $$z9783319314822
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000763473 035__ $$aSP(OCoLC)ocn960909627
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000763473 08204 $$a519.7/6$$222
000763473 1001_ $$aTuy, Hoang.
000763473 24510 $$aConvex analysis and global optimization /$$cHoang Tuy.
000763473 250__ $$aSecond edition.
000763473 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000763473 300__ $$a1 online resource.
000763473 336__ $$atext$$btxt$$2rdacontent
000763473 337__ $$acomputer$$bc$$2rdamedia
000763473 338__ $$aonline resource$$bcr$$2rdacarrier
000763473 504__ $$aIncludes bibliographical references and index.
000763473 5050_ $$a1. Convex Sets -- 2. Convex Functions -- 3. Fixed Point and Equilibrium -- 4. DC Functions and DC Sets -- 5. Motivation and Overview -- 6. General Methods -- 7. DC Optimization Problems -- 8. Special Methods -- 9. Parametric Decomposition -- 10. Nonconvex Quadratic Programming -- 11. Monotonic Optimization -- 12. Polynomial Optimization -- 13. Optimization Under Equilibrium Constraints -- References -- Index. .
000763473 506__ $$aAccess limited to authorized users.
000763473 520__ $$aThis book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: · Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; · Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; <p · Important discussions of decomposition methods for specially structured problems; · A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. · Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. ...The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.--Mathematical Methods of Operations Research, 49:3 (1999).
000763473 588__ $$aDescription based on print version record.
000763473 650_0 $$aConvex functions.
000763473 650_0 $$aConvex sets.
000763473 650_0 $$aMathematical optimization.
000763473 650_0 $$aNonlinear programming.
000763473 77608 $$iPrint version:$$aTuy, Hoang.$$tConvex analysis and global optimization.$$bSecond edition 2016.$$d[Place of publication not identified] : Springer, 2016$$z3319314823$$w(OCoLC)940933316
000763473 852__ $$bebk
000763473 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-31484-6$$zOnline Access$$91397441.1
000763473 909CO $$ooai:library.usi.edu:763473$$pGLOBAL_SET
000763473 980__ $$aEBOOK
000763473 980__ $$aBIB
000763473 982__ $$aEbook
000763473 983__ $$aOnline
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