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Viser: Convex Analysis and Global Optimization

Convex Analysis and Global Optimization, 2. udgave
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Convex Analysis and Global Optimization Vital Source e-bog

Hoang Tuy
(2016)
Springer Nature
1.078,00 kr.
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Convex Analysis and Global Optimization, 2. udgave

Convex Analysis and Global Optimization Vital Source e-bog

Hoang Tuy
(2016)
Springer Nature
699,00 kr.
Leveres umiddelbart efter køb
Convex Analysis and Global Optimization, 2. udgave

Convex Analysis and Global Optimization Vital Source e-bog

Hoang Tuy
(2016)
Springer Nature
539,00 kr.
Leveres umiddelbart efter køb
Convex Analysis and Global Optimization, 2. udgave

Convex Analysis and Global Optimization Vital Source e-bog

Hoang Tuy
(2016)
Springer Nature
747,00 kr.
Leveres umiddelbart efter køb
Convex Analysis and Global Optimization, 2. udgave

Convex Analysis and Global Optimization

Hoang Tuy
(2016)
Sprog: Engelsk
Springer International Publishing AG
1.059,00 kr.
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Detaljer om varen

  • 2. Udgave
  • Vital Source searchable e-book (Fixed pages)
  • Udgiver: Springer Nature (Oktober 2016)
  • ISBN: 9783319314846
This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: ·        Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; ·        Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; ·        Important discussions of decomposition methods for specially structured problems; ·        A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. ·        Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. …The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.—Mathematical Methods of Operations Research, 49:3 (1999)
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Bookshelf appen: ubegrænset dage fra købsdato.

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Detaljer om varen

  • 2. Udgave
  • Vital Source 180 day rentals (fixed pages)
  • Udgiver: Springer Nature (Oktober 2016)
  • ISBN: 9783319314846R180
This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: ·        Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; ·        Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; ·        Important discussions of decomposition methods for specially structured problems; ·        A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. ·        Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. …The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.—Mathematical Methods of Operations Research, 49:3 (1999)
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Vital Source 90 day rentals (fixed pages)
  • Udgiver: Springer Nature (Oktober 2016)
  • ISBN: 9783319314846R90
This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: ·        Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; ·        Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; ·        Important discussions of decomposition methods for specially structured problems; ·        A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. ·        Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. …The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.—Mathematical Methods of Operations Research, 49:3 (1999)
Licens varighed:
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Vital Source 365 day rentals (fixed pages)
  • Udgiver: Springer Nature (Oktober 2016)
  • ISBN: 9783319314846R365
This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: ·        Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; ·        Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; ·        Important discussions of decomposition methods for specially structured problems; ·        A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. ·        Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. …The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.—Mathematical Methods of Operations Research, 49:3 (1999)
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Hardback: 476 sider
  • Udgiver: Springer International Publishing AG (Oktober 2016)
  • ISBN: 9783319314822

This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come.

Updates for this new edition include:

·        Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization;

·        Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints;

·        Important discussions of decomposition methods for specially structured problems;

·        A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition.

·        Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint.

From the reviews of the first edition:

The book gives a good review of the topic. ...The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.--Mathematical Methods of Operations Research, 49:3 (1999)


1. Convex Sets. -
2. Convex Functions. -
3. Fixed Point and Equilibrium. -
4. DC Functions and DC Sets. -
5. Motivation and Overview. -
6. General Methods. -
7. DC Optimization Problems. -
8. Special Methods. -
9. Parametric Decomposition. -
10. Nonconvex Quadratic Programming. -
11. Monotonic Optimization. -
12. Polynomial Optimization. -
13. Optimization Under Equilibrium Constraints. - References. -
Index.
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