[Review of the book An Introduction to Polynomial and Semi-Algebraic Optimization, Jean-Bernard Lasserre, 2015]

Research output: Contribution to journalBook/Film/Article reviewOther research output

Abstract

It is no exaggeration to say that Jean-Bernard Lasserre has revolutionized the field of polynomial global optimization in the last 15 years. He was awarded the Lagrange Prize for the first, seminal paper (Lasserre, 2001) where his new semidefinite programming-based approach was introduced, and most recently the INFORMS Optimization Society Khachiyan Prize for his collected works. As the title suggests, this new book by Lasserre is aimed at a fairly general audience, and it is remarkable to note that almost all the content dates from this century. There is some overlap with the author's earlier book (Lasserre, 2010), but the new volume has a narrower scope and is written at a more introductory level. For example, the new book includes exercises and a software (Gloptipoly) guide, and as such is suitable for a graduate course on polynomial optimization.
Original languageEnglish
Pages (from-to)789-790
Number of pages2
JournalEuropean Journal of Operational Research
Volume249
Issue number2
DOIs
Publication statusPublished - 2016

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Polynomials
Polynomial
Optimization
Global optimization
Semidefinite Programming
Date
Lagrange
Global Optimization
Exercise
Overlap
Software
Review
Jeans
Semidefinite programming

Cite this

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title = "[Review of the book An Introduction to Polynomial and Semi-Algebraic Optimization, Jean-Bernard Lasserre, 2015]",
abstract = "It is no exaggeration to say that Jean-Bernard Lasserre has revolutionized the field of polynomial global optimization in the last 15 years. He was awarded the Lagrange Prize for the first, seminal paper (Lasserre, 2001) where his new semidefinite programming-based approach was introduced, and most recently the INFORMS Optimization Society Khachiyan Prize for his collected works. As the title suggests, this new book by Lasserre is aimed at a fairly general audience, and it is remarkable to note that almost all the content dates from this century. There is some overlap with the author's earlier book (Lasserre, 2010), but the new volume has a narrower scope and is written at a more introductory level. For example, the new book includes exercises and a software (Gloptipoly) guide, and as such is suitable for a graduate course on polynomial optimization.",
author = "{de Klerk}, Etienne",
note = "Title: An Introduction to Polynomial and Semi-Algebraic Optimization Author(s): Jean B. Lasserre Year published: 2015 Number of pages: 354 Publisher: Cambridge University Press Place of publication: Cambridge ISBN: 9781107630697",
year = "2016",
doi = "10.1016/j.ejor.2015.10.010",
language = "English",
volume = "249",
pages = "789--790",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Science BV",
number = "2",

}

[Review of the book An Introduction to Polynomial and Semi-Algebraic Optimization, Jean-Bernard Lasserre, 2015]. / de Klerk, Etienne.

In: European Journal of Operational Research, Vol. 249, No. 2, 2016, p. 789-790.

Research output: Contribution to journalBook/Film/Article reviewOther research output

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AU - de Klerk, Etienne

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PY - 2016

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AB - It is no exaggeration to say that Jean-Bernard Lasserre has revolutionized the field of polynomial global optimization in the last 15 years. He was awarded the Lagrange Prize for the first, seminal paper (Lasserre, 2001) where his new semidefinite programming-based approach was introduced, and most recently the INFORMS Optimization Society Khachiyan Prize for his collected works. As the title suggests, this new book by Lasserre is aimed at a fairly general audience, and it is remarkable to note that almost all the content dates from this century. There is some overlap with the author's earlier book (Lasserre, 2010), but the new volume has a narrower scope and is written at a more introductory level. For example, the new book includes exercises and a software (Gloptipoly) guide, and as such is suitable for a graduate course on polynomial optimization.

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