Convex optimization par stephen boyd (38 résultats)

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Langue : anglais
Edité par Cambridge University Press, 2016
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Edité par Cambridge University Press
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Edité par Cambridge University Press, 2004
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Hardback. Etat : New. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.…

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Etat : New. 2004. 1st Edition. Hardcover. A comprehensive introduction to the tools, techniques and applications of convex optimization. Num Pages: 727 pages, 337 exercises. BIC Classification: KCH; PBU; TJ; UY. Category: (P) Professional & Vocational. Dimension: 250 x 193 x 42. Weight in Grams: 1694. 730 pages, 337 exercises. A comprehensive introduction to the tools, techniques and applications of convex optimization. Cateogry: (P) Professional & Vocational. BIC Classification: KCH; PBU; TJ; UY. Dimension: 250 x 193 x 42. Weight: 1704. . . . . . …

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Hardback. Etat : New. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.…

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Etat : New. 2004. 1st Edition. Hardcover. A comprehensive introduction to the tools, techniques and applications of convex optimization. Num Pages: 727 pages, 337 exercises. BIC Classification: KCH; PBU; TJ; UY. Category: (P) Professional & Vocational. Dimension: 250 x 193 x 42. Weight in Grams: 1694. 730 pages, 337 exercises. A comprehensive introduction to the tools, techniques and applications of convex optimization. Cateogry: (P) Professional & Vocational. BIC Classification: KCH; PBU; TJ; UY. Dimension: 250 x 193 x 42. Weight: 1704. . . . . . Books ship from the US and Ireland. …

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Hardback. Etat : New. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.…

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Etat : Gut. Zustand: Gut | Seiten: 732 | Sprache: Englisch | Produktart: Bücher | A comprehensive introduction to the tools, techniques and applications of convex optimization.

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.…

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Hardback. Etat : New. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.…

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