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Polynomial optimization, moments, an...

Kocvara, Michal.

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Polynomial optimization, moments, and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Polynomial optimization, moments, and applications/ edited by Michal Kocvara, Bernard Mourrain, Cordian Riener.
other author:	Kocvara, Michal.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xiv, 266 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Polynomials. -
Online resource:	https://doi.org/10.1007/978-3-031-38659-6
ISBN:	9783031386596

Polynomial optimization, moments, and applications
Polynomial optimization, moments, and applications[electronic resource] /edited by Michal Kocvara, Bernard Mourrain, Cordian Riener. - Cham :Springer Nature Switzerland :2023. - xiv, 266 p. :ill. (some col.), digital ;24 cm. - Springer optimization and its applications,v. 2061931-6836 ;. - Springer optimization and its applications ;v. 206..

Polynomial optimization is a fascinating field of study that has revolutionized the way we approach nonlinear problems described by polynomial constraints. The applications of this field range from production planning processes to transportation, energy consumption, and resource control. This introductory book explores the latest research developments in polynomial optimization, presenting the results of cutting-edge interdisciplinary work conducted by the European network POEMA. For the past four years, experts from various fields, including algebraists, geometers, computer scientists, and industrial actors, have collaborated in this network to create new methods that go beyond traditional paradigms of mathematical optimization. By exploiting new advances in algebra and convex geometry, these innovative approaches have resulted in significant scientific and technological advancements. This book aims to make these exciting developments accessible to a wider audience by gathering high-quality chapters on these hot topics. Aimed at both aspiring and established researchers, as well as industry professionals, this book will be an invaluable resource for anyone interested in polynomial optimization and its potential for real-world applications.

ISBN: 9783031386596

Standard No.: 10.1007/978-3-031-38659-6doiSubjects--Topical Terms:

604754
Polynomials.

LC Class. No.: QA161.P59

Dewey Class. No.: 512.9422

Polynomial optimization, moments, and applications
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245 0 0 $a Polynomial optimization, moments, and applications $h [electronic resource] / $c edited by Michal Kocvara, Bernard Mourrain, Cordian Riener.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xiv, 266 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6836 ; $v v. 206
520 $a Polynomial optimization is a fascinating field of study that has revolutionized the way we approach nonlinear problems described by polynomial constraints. The applications of this field range from production planning processes to transportation, energy consumption, and resource control. This introductory book explores the latest research developments in polynomial optimization, presenting the results of cutting-edge interdisciplinary work conducted by the European network POEMA. For the past four years, experts from various fields, including algebraists, geometers, computer scientists, and industrial actors, have collaborated in this network to create new methods that go beyond traditional paradigms of mathematical optimization. By exploiting new advances in algebra and convex geometry, these innovative approaches have resulted in significant scientific and technological advancements. This book aims to make these exciting developments accessible to a wider audience by gathering high-quality chapters on these hot topics. Aimed at both aspiring and established researchers, as well as industry professionals, this book will be an invaluable resource for anyone interested in polynomial optimization and its potential for real-world applications.
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650 0 $a Mathematical optimization. $3 517763
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700 1 $a Kocvara, Michal. $3 713573
700 1 $a Mourrain, Bernard. $3 1073699
700 1 $a Riener, Cordian. $3 3756293
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830 0 $a Springer optimization and its applications ; $v v. 206. $3 3756294
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950 $a Mathematics and Statistics (SpringerNature-11649)