Global Optimization in Engineering Design:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1996
|
| Schriftenreihe: | Nonconvex Optimization and Its Applications
9 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 solution 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 programming 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 engineers; 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 |
| Beschreibung: | 1 Online-Ressource (X, 388 p) |
| ISBN: | 9781475753318 9781441947543 |
| ISSN: | 1571-568X |
| DOI: | 10.1007/978-1-4757-5331-8 |
Internformat
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| 490 | 1 | |a Nonconvex Optimization and Its Applications |v 9 |x 1571-568X | |
| 500 | |a 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 solution 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 programming 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 engineers; 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 | ||
| 650 | 4 | |a Mathematics | |
| 650 | 4 | |a Chemical engineering | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Engineering design | |
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| 650 | 4 | |a Industrial Chemistry/Chemical Engineering | |
| 650 | 4 | |a Engineering Design | |
| 650 | 4 | |a Operation Research/Decision Theory | |
| 650 | 4 | |a Mathematik | |
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Datensatz im Suchindex
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| dewey-full | 519.6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-search | 519.6 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4757-5331-8 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:09Z |
| institution | BVB |
| isbn | 9781475753318 9781441947543 |
| issn | 1571-568X |
| language | English |
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| series | Nonconvex Optimization and Its Applications |
| series2 | Nonconvex Optimization and Its Applications |
| spelling | Global Optimization in Engineering Design edited by Ignacio E. Grossmann Boston, MA Springer US 1996 1 Online-Ressource (X, 388 p) txt rdacontent c rdamedia cr rdacarrier Nonconvex Optimization and Its Applications 9 1571-568X 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 solution 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 programming 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 engineers; 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 Mathematics Chemical engineering Mathematical optimization Engineering design Operations research Optimization Industrial Chemistry/Chemical Engineering Engineering Design Operation Research/Decision Theory Mathematik Globale Optimierung (DE-588)4140067-7 gnd rswk-swf Konstruieren (DE-588)4139312-0 gnd rswk-swf Konstruieren (DE-588)4139312-0 s Globale Optimierung (DE-588)4140067-7 s 1\p DE-604 Grossmann, Ignacio E. 1949- (DE-588)171402243 edt Nonconvex Optimization and Its Applications 9 (DE-604)BV010085908 9 https://doi.org/10.1007/978-1-4757-5331-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Global Optimization in Engineering Design Nonconvex Optimization and Its Applications Mathematics Chemical engineering Mathematical optimization Engineering design Operations research Optimization Industrial Chemistry/Chemical Engineering Engineering Design Operation Research/Decision Theory Mathematik Globale Optimierung (DE-588)4140067-7 gnd Konstruieren (DE-588)4139312-0 gnd |
| subject_GND | (DE-588)4140067-7 (DE-588)4139312-0 |
| title | Global Optimization in Engineering Design |
| title_auth | Global Optimization in Engineering Design |
| title_exact_search | Global Optimization in Engineering Design |
| title_full | Global Optimization in Engineering Design edited by Ignacio E. Grossmann |
| title_fullStr | Global Optimization in Engineering Design edited by Ignacio E. Grossmann |
| title_full_unstemmed | Global Optimization in Engineering Design edited by Ignacio E. Grossmann |
| title_short | Global Optimization in Engineering Design |
| title_sort | global optimization in engineering design |
| topic | Mathematics Chemical engineering Mathematical optimization Engineering design Operations research Optimization Industrial Chemistry/Chemical Engineering Engineering Design Operation Research/Decision Theory Mathematik Globale Optimierung (DE-588)4140067-7 gnd Konstruieren (DE-588)4139312-0 gnd |
| topic_facet | Mathematics Chemical engineering Mathematical optimization Engineering design Operations research Optimization Industrial Chemistry/Chemical Engineering Engineering Design Operation Research/Decision Theory Mathematik Globale Optimierung Konstruieren |
| url | https://doi.org/10.1007/978-1-4757-5331-8 |
| volume_link | (DE-604)BV010085908 |
| work_keys_str_mv | AT grossmannignacioe globaloptimizationinengineeringdesign |