Libros importados con hasta 50% OFF + Envío Gratis a todo USA  Ver más

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Sparse Polynomial Optimization: Theory and Practice (in English)
Type
Physical Book
Language
Inglés
Pages
224
Format
Hardcover
Dimensions
22.9 x 15.2 x 1.4 cm
Weight
0.47 kg.
ISBN13
9781800612945

Sparse Polynomial Optimization: Theory and Practice (in English)

Jie Wang (Author) · Victor Magron (Author) · World Scientific Publishing Europe Ltd · Hardcover

Sparse Polynomial Optimization: Theory and Practice (in English) - Magron, Victor ; Wang, Jie

Physical Book

$ 83.37

$ 88.00

You save: $ 4.63

5% discount
  • Condition: New
It will be shipped from our warehouse between Monday, June 24 and Tuesday, June 25.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Sparse Polynomial Optimization: Theory and Practice (in English)"

Many applications, including computer vision, computer arithmetic, deep learning, entanglement in quantum information, graph theory and energy networks, can be successfully tackled within the framework of polynomial optimization, an emerging field with growing research efforts in the last two decades. One key advantage of these techniques is their ability to model a wide range of problems using optimization formulations. Polynomial optimization heavily relies on the moment-sums of squares (moment-SOS) approach proposed by Lasserre, which provides certificates for positive polynomials. On the practical side, however, there is 'no free lunch' and such optimization methods usually encompass severe scalability issues. Fortunately, for many applications, including the ones formerly mentioned, we can look at the problem in the eyes and exploit the inherent data structure arising from the cost and constraints describing the problem.This book presents several research efforts to resolve this scientific challenge with important computational implications. It provides the development of alternative optimization schemes that scale well in terms of computational complexity, at least in some identified class of problems. It also features a unified modeling framework to handle a wide range of applications involving both commutative and noncommutative variables, and to solve concretely large-scale instances. Readers will find a practical section dedicated to the use of available open-source software libraries.This interdisciplinary monograph is essential reading for students, researchers and professionals interested in solving optimization problems with polynomial input data.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews