{"product_id":"integrated-methods-for-optimization-hardcover","title":"Integrated Methods for Optimization - Hardcover","description":"\u003cp\u003eby \u003cb\u003eJohn N. Hooker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe first edition of \u003ci\u003eIntegrated Methods for Optimization\u003c\/i\u003e was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields.\u003c\/p\u003e \u003cp\u003eThe book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach--particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curricula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts.\u003c\/p\u003e \u003cp\u003eThe book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future. The second edition updates results in this area and includes several major new topics: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBackground material in linear, nonlinear, and dynamic programming.\u003c\/li\u003e\n\u003cli\u003eNetwork flow theory, due to its importance in filtering algorithms.\u003c\/li\u003e\n\u003cli\u003eA chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods.\u003c\/li\u003e\n\u003cli\u003eAn extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle.\u003c\/li\u003e\n\u003cli\u003eCoverage of several additional global constraints used in CP solvers.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe first edition of \u003ci\u003eIntegrated Methods for Optimization\u003c\/i\u003e was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach--particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curric\u003c\/p\u003eula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future. The second edition updates results in this area and includes several major new topics: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBackground material in linear, nonlinear, and dynamic programming.\u003c\/li\u003e\n\u003cli\u003eNetwork flow theory, due to its importance in filtering algorithms.\u003c\/li\u003e\n\u003cli\u003eA chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods.\u003c\/li\u003e\n\u003cli\u003eAn extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle.\u003c\/li\u003e\n\u003cli\u003eCoverage of several additional global constraints used in CP solvers.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJohn Hooker\u003c\/b\u003e is T. Jerome Holleran Professor of Business Ethics and Social Responsibility, and Professor of Operations Research, at Carnegie Mellon University. He is also part-time Visiting Professor at London School of Economics, 2009-2011. He holds doctoral degrees in philosophy and management science. His research interests include operations research, business ethics, and cross-cultural issues. He teaches courses in these fields at the undergraduate, postgraduate, and executive levels, and he has published over 130 articles and seven books. He is founding editor-in-chief of the \u003ci\u003eJournal of Business Ethics Education \u003c\/i\u003eand an area editor for \u003ci\u003eINFORMS Journal on Computing\u003c\/i\u003e. He is founding director of the Center for International Corporate Responsibility at Carnegie Mellon. He was recently named an INFORMS Fellow for outstanding contributions to operations research and the management sciences. His recent book \u003ci\u003eIntegrated Methods for Optimization \u003c\/i\u003ereflects his primary research interests in operations research. He developed the ethics curriculum, including course materials, used in CMU's Tepper School of Business, and he has co-organized four conferences on international corporate responsibility. His book \u003ci\u003eWorking across Cultures \u003c\/i\u003eis used as a text in cross-cultural business courses at several universities. He has lived and worked in Australia, China, Denmark, India, Qatar, Turkey, the United States, and Zimbabwe, and has extensive experie\u003c\/p\u003ence in Germany, Mexico, and the United Kingdom. He has led professional workshops in several countries. He was head of Carnegie Mellon's undergraduate Business Administration Program 1996-2001. He reorganized the program, led the design of its curriculum, and received a distinguished service award from the Tepper School for his contributions. In 2009 he received an Award for Sustained Teaching Excellence in the program.\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 642\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.38 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 12, 2011\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42740241891391,"sku":"9781461418993","price":106.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/aa403a90edc5a97d1c37f46e2fab701a.webp?v=1765159430","url":"https:\/\/dhlswag.com\/products\/integrated-methods-for-optimization-hardcover","provider":"BBB","version":"1.0","type":"link"}