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Can I read Polynomial Optimization, Moments, and Applications (Springer Optimization and Its Applications, 206) on EtoBox?

Polynomial Optimization, Moments, and Applications (Springer Optimization and Its Applications, 206) by Michal Kočvara (editor), Bernard Mourrain (editor), Cordian Riener (editor) is a nonfiction available to read on EtoBox.

What is Polynomial Optimization, Moments, and Applications (Springer Optimization and Its Applications, 206) about?

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 audienceby 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

Who reads Polynomial Optimization, Moments, and Applications (Springer Optimization and Its Applications, 206)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Michal Kočvara (editor), Bernard Mourrain (editor), Cordian Riener (editor)
Publisher
Springer Nature Switzerland AG
Published
2023
Language
EN
ISBN
9783031386589
Category
nonfiction
Subjects
Mathematics, Stem

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