High Performance Optimization:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2000
|
| Schriftenreihe: | Applied Optimization
33 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new 'golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such 'High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques |
| Beschreibung: | 1 Online-Ressource (XXII, 474 p) |
| ISBN: | 9781475732160 9781441948199 |
| ISSN: | 1384-6485 |
| DOI: | 10.1007/978-1-4757-3216-0 |
Internformat
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| 500 | |a For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new 'golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such 'High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques | ||
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Datensatz im Suchindex
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| author | Frenk, Hans |
| author_facet | Frenk, Hans |
| author_role | aut |
| author_sort | Frenk, Hans |
| author_variant | h f hf |
| building | Verbundindex |
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| collection | ZDB-2-SMA ZDB-2-BAE |
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| dewey-full | 510 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 510 - Mathematics |
| dewey-raw | 510 |
| dewey-search | 510 |
| dewey-sort | 3510 |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4757-3216-0 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:09Z |
| institution | BVB |
| isbn | 9781475732160 9781441948199 |
| issn | 1384-6485 |
| language | English |
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| spelling | Frenk, Hans Verfasser aut High Performance Optimization edited by Hans Frenk, Kees Roos, Tamás Terlaky, Shuzhong Zhang Boston, MA Springer US 2000 1 Online-Ressource (XXII, 474 p) txt rdacontent c rdamedia cr rdacarrier Applied Optimization 33 1384-6485 For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new 'golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such 'High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques Mathematics Systems theory Number theory Mathematical optimization Mathematics, general Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Number Theory Optimization Mathematik Semidefinite Optimierung (DE-588)4663806-4 gnd rswk-swf Konvexe Optimierung (DE-588)4137027-2 gnd rswk-swf Innere-Punkte-Methode (DE-588)4352322-5 gnd rswk-swf Semidefinite Optimierung (DE-588)4663806-4 s Innere-Punkte-Methode (DE-588)4352322-5 s 1\p DE-604 Konvexe Optimierung (DE-588)4137027-2 s 2\p DE-604 Roos, Kees Sonstige oth Terlaky, Tamás Sonstige oth Zhang, Shuzhong Sonstige oth https://doi.org/10.1007/978-1-4757-3216-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Frenk, Hans High Performance Optimization Mathematics Systems theory Number theory Mathematical optimization Mathematics, general Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Number Theory Optimization Mathematik Semidefinite Optimierung (DE-588)4663806-4 gnd Konvexe Optimierung (DE-588)4137027-2 gnd Innere-Punkte-Methode (DE-588)4352322-5 gnd |
| subject_GND | (DE-588)4663806-4 (DE-588)4137027-2 (DE-588)4352322-5 |
| title | High Performance Optimization |
| title_auth | High Performance Optimization |
| title_exact_search | High Performance Optimization |
| title_full | High Performance Optimization edited by Hans Frenk, Kees Roos, Tamás Terlaky, Shuzhong Zhang |
| title_fullStr | High Performance Optimization edited by Hans Frenk, Kees Roos, Tamás Terlaky, Shuzhong Zhang |
| title_full_unstemmed | High Performance Optimization edited by Hans Frenk, Kees Roos, Tamás Terlaky, Shuzhong Zhang |
| title_short | High Performance Optimization |
| title_sort | high performance optimization |
| topic | Mathematics Systems theory Number theory Mathematical optimization Mathematics, general Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Number Theory Optimization Mathematik Semidefinite Optimierung (DE-588)4663806-4 gnd Konvexe Optimierung (DE-588)4137027-2 gnd Innere-Punkte-Methode (DE-588)4352322-5 gnd |
| topic_facet | Mathematics Systems theory Number theory Mathematical optimization Mathematics, general Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Number Theory Optimization Mathematik Semidefinite Optimierung Konvexe Optimierung Innere-Punkte-Methode |
| url | https://doi.org/10.1007/978-1-4757-3216-0 |
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