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Viser: Convex Optimization

Convex Optimization, 1. udgave
Søgbar e-bog

Convex Optimization Vital Source e-bog

Stephen Boyd
(2004)
Cambridge University Press
1.195,00 kr.
Leveres umiddelbart efter køb
Convex Optimization
Søgbar e-bog

Convex Optimization Vital Source e-bog

Stephen Boyd og Lieven Vandenberghe
(2004)
Cambridge University Press
1.195,00 kr.
Leveres umiddelbart efter køb
Convex Optimization

Convex Optimization

Stephen Boyd og Lieven Vandenberghe
(2004)
Sprog: Engelsk
Cambridge University Press
1.216,00 kr.
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Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: Cambridge University Press (Marts 2004)
  • ISBN: 9781107385924
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.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen

  • Vital Source searchable e-book (Fixed pages)
  • Udgiver: Cambridge University Press (Marts 2004)
  • Forfattere: Stephen Boyd og Lieven Vandenberghe
  • ISBN: 9781107299528
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.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • Hardback: 727 sider
  • Udgiver: Cambridge University Press (Marts 2004)
  • Forfattere: Stephen Boyd og Lieven Vandenberghe
  • ISBN: 9780521833783
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.
Preface;
1. Introduction;
Part I. Theory:
2. Convex sets;
3. Convex functions;
4. Convex optimization problems;
5. Duality;
Part II. Applications:
6. Approximation and fitting;
7. Statistical estimation;
8. Geometrical problems;
Part III. Algorithms:
9. Unconstrained minimization;
10. Equality constrained minimization;
11. Interior-point methods; Appendices.
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