An Introduction to Polynomial and Semi-Algebraic Optimization

Author:   Jean Bernard Lasserre
Publisher:   Cambridge University Press
Volume:   52
ISBN:  

9781107060579


Pages:   354
Publication Date:   19 February 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Polynomial and Semi-Algebraic Optimization


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Author:   Jean Bernard Lasserre
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Volume:   52
Dimensions:   Width: 15.20cm , Height: 2.10cm , Length: 22.90cm
Weight:   0.610kg
ISBN:  

9781107060579


ISBN 10:   1107060575
Pages:   354
Publication Date:   19 February 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface; List of symbols; 1. Introduction and messages of the book; Part I. Positive Polynomials and Moment Problems: 2. Positive polynomials and moment problems; 3. Another look at nonnegativity; 4. The cone of polynomials nonnegative on K; Part II. Polynomial and Semi-algebraic Optimization: 5. The primal and dual points of view; 6. Semidefinite relaxations for polynomial optimization; 7. Global optimality certificates; 8. Exploiting sparsity or symmetry; 9. LP relaxations for polynomial optimization; 10. Minimization of rational functions; 11. Semidefinite relaxations for semi-algebraic optimization; 12. An eigenvalue problem; Part III. Specializations and Extensions: 13. Convexity in polynomial optimization; 14. Parametric optimization; 15. Convex underestimators of polynomials; 16. Inverse polynomial optimization; 17. Approximation of sets defined with quantifiers; 18. Level sets and a generalization of the Löwner-John's problem; Appendix A. Semidefinite programming; Appendix B. The GloptiPoly software; References; Index.

Reviews

'This monograph may be considered as a comprehensive introduction to solving global optimization problems described by polynomials and even semi-algebraic functions. The book is accompanied by a Matlab freeware software that implements the described methodology ... The well written and extensive introduction may help the reader to knowingly use the book.' Jerzy Ombach, Zentralblatt MATH


Author Information

Jean Bernard Lasserre is Directeur de Recherche at the LAAS laboratory in Toulouse and a member of the Institute of Mathematics of Toulouse (IMT). In 2009 he received the Lagrange Prize, awarded jointly by the Mathematical Optimization Society (MOS) and the Society for Industrial and Applied Mathematics (SIAM). He is the winner of the 2015 INFORMS Optimization Society Khachiyan Prize, awarded for life-time achievements in the area of optimization.

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