Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years.
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Preface. 1. Branch and Bound for Global NLP: New Bounding LP; T.G.W. Epperly, R.E Swaney. 2. Branch and Bound for Global NLP: Iterative LP Algorithm & Results; T.G.W. Epperly, R.E. Swaney. 3. New Formulations and Branching Strategies for the GOP Algorithm; V. Visweswaran, C.A. Floudas. 4. Computational Results for an Efficient Implementation of the GOP Algorithm and Its Variants; V. Visweswaran, C.A. Floudas. 5. Solving Nonconvex Process Optimisation Problems Using Interval Subdivision Algorithms; R.P. Byrne, I.D.L. Bogle. 6. Global Optimization of Nonconvex MINLPs by Interval Analysis; R. Vaidyanathan, M. El-Halwagi. 7. Planning of Chemical Process Networks via Global Concave Minimization; M. Lui, et al. 8. Global Optimization for Stochastic Planning, Scheduling and Design Problems; M.G. Ierapetritou, E.N. Pistikopoulos. 9. Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design; R.R. Iyer, I.E. Grossmann. 10. Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Problems; I. Quesada, I.E. Grossmann. 11. A Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Systems; H.D. Sherali, et al. 12. Global Optimisation of General Process Models; E.M.B. Smith, C.C. Pantelides.
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Da: Buchpark, Trebbin, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear op. Codice articolo 5967671
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Buch. Condizione: Neu. Global Optimization in Engineering Design | Ignacio E. Grossmann | Buch | x | Englisch | 1996 | Springer US | EAN 9780792338819 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 101883122
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years. 400 pp. Englisch. Codice articolo 9780792338819
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Condizione: New. Presents some of the techniques and applications of deterministic approaches to global optimization. The first six chapters of this book deal with applications in the planning of process networks, stochastic scheduling, heat exchanger networks, layout design, truss design, multiproduct batch plants, and water distribution systems. Editor(s): Grossmann, Ignacio E. Series: Nonconvex Optimization and Its Applications. Num Pages: 398 pages, biography. BIC Classification: PBW; TBD; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 22. Weight in Grams: 735. . 1996. Hardback. . . . . Codice articolo V9780792338819
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch. Codice articolo 9780792338819
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years. Codice articolo 9780792338819
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