Large-scale convex optimization: algorithms & analyses via monotone operators
Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and availability of big...
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| Beteiligte Personen: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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| Links: | https://doi.org/10.1017/9781009160865 https://doi.org/10.1017/9781009160865 https://doi.org/10.1017/9781009160865 https://doi.org/10.1017/9781009160865 |
| Zusammenfassung: | Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and availability of big data over the past decade, applied disciplines have demanded that larger and larger optimization problems be solved. This text covers the first-order convex optimization methods that are uniquely effective at solving these large-scale optimization problems. Readers will have the opportunity to construct and analyze many well-known classical and modern algorithms using monotone operators, and walk away with a solid understanding of the diverse optimization algorithms. Graduate students and researchers in mathematical optimization, operations research, electrical engineering, statistics, and computer science will appreciate this concise introduction to the theory of convex optimization algorithms |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 12 Dec 2022) |
| Umfang: | 1 Online-Ressource (xiv, 303 Seiten) |
| ISBN: | 9781009160865 |
| DOI: | 10.1017/9781009160865 |
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| author | Ryu, Ernest K. ca. 20./21. Jh Yin, Wotao ca. 20./21. Jh |
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| id | DE-604.BV048691888 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:52:13Z |
| institution | BVB |
| isbn | 9781009160865 |
| language | English |
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| spelling | Ryu, Ernest K. ca. 20./21. Jh. (DE-588)1280001011 aut Large-scale convex optimization algorithms & analyses via monotone operators Ernest K. Ryu, Wotao Yin Cambridge Cambridge University Press 2023 1 Online-Ressource (xiv, 303 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 12 Dec 2022) Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and availability of big data over the past decade, applied disciplines have demanded that larger and larger optimization problems be solved. This text covers the first-order convex optimization methods that are uniquely effective at solving these large-scale optimization problems. Readers will have the opportunity to construct and analyze many well-known classical and modern algorithms using monotone operators, and walk away with a solid understanding of the diverse optimization algorithms. Graduate students and researchers in mathematical optimization, operations research, electrical engineering, statistics, and computer science will appreciate this concise introduction to the theory of convex optimization algorithms Convex sets Convex functions Mathematical optimization Modellierung (DE-588)4170297-9 gnd rswk-swf Operatortheorie (DE-588)4075665-8 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Konvexe Menge (DE-588)4165212-5 gnd rswk-swf Monotoner Operator (DE-588)4207161-6 gnd rswk-swf Konvexe Funktion (DE-588)4139679-0 gnd rswk-swf Modellierung (DE-588)4170297-9 s Konvexe Menge (DE-588)4165212-5 s Konvexe Funktion (DE-588)4139679-0 s Optimierung (DE-588)4043664-0 s Monotoner Operator (DE-588)4207161-6 s Operatortheorie (DE-588)4075665-8 s DE-604 Yin, Wotao ca. 20./21. Jh. (DE-588)103849625X aut Erscheint auch als Druck-Ausgabe 978-1-00-916085-8 https://doi.org/10.1017/9781009160865 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Ryu, Ernest K. ca. 20./21. Jh Yin, Wotao ca. 20./21. Jh Large-scale convex optimization algorithms & analyses via monotone operators Convex sets Convex functions Mathematical optimization Modellierung (DE-588)4170297-9 gnd Operatortheorie (DE-588)4075665-8 gnd Optimierung (DE-588)4043664-0 gnd Konvexe Menge (DE-588)4165212-5 gnd Monotoner Operator (DE-588)4207161-6 gnd Konvexe Funktion (DE-588)4139679-0 gnd |
| subject_GND | (DE-588)4170297-9 (DE-588)4075665-8 (DE-588)4043664-0 (DE-588)4165212-5 (DE-588)4207161-6 (DE-588)4139679-0 |
| title | Large-scale convex optimization algorithms & analyses via monotone operators |
| title_auth | Large-scale convex optimization algorithms & analyses via monotone operators |
| title_exact_search | Large-scale convex optimization algorithms & analyses via monotone operators |
| title_full | Large-scale convex optimization algorithms & analyses via monotone operators Ernest K. Ryu, Wotao Yin |
| title_fullStr | Large-scale convex optimization algorithms & analyses via monotone operators Ernest K. Ryu, Wotao Yin |
| title_full_unstemmed | Large-scale convex optimization algorithms & analyses via monotone operators Ernest K. Ryu, Wotao Yin |
| title_short | Large-scale convex optimization |
| title_sort | large scale convex optimization algorithms analyses via monotone operators |
| title_sub | algorithms & analyses via monotone operators |
| topic | Convex sets Convex functions Mathematical optimization Modellierung (DE-588)4170297-9 gnd Operatortheorie (DE-588)4075665-8 gnd Optimierung (DE-588)4043664-0 gnd Konvexe Menge (DE-588)4165212-5 gnd Monotoner Operator (DE-588)4207161-6 gnd Konvexe Funktion (DE-588)4139679-0 gnd |
| topic_facet | Convex sets Convex functions Mathematical optimization Modellierung Operatortheorie Optimierung Konvexe Menge Monotoner Operator Konvexe Funktion |
| url | https://doi.org/10.1017/9781009160865 |
| work_keys_str_mv | AT ryuernestk largescaleconvexoptimizationalgorithmsanalysesviamonotoneoperators AT yinwotao largescaleconvexoptimizationalgorithmsanalysesviamonotoneoperators |