Sum of Squares : Theory and Applications

Pablo A. Parrilo

ISBN 10: 1470450259 / ISBN 13: 9781470450250

Published by American Mathematical Society Sep 2020, 2020

About this Item

Neuware - This volume is based on lectures delivered at the 2019 AMS Short Course ''Sum of Squares: Theory and Applications'', held January 14-15, 2019, in Baltimore, Maryland. This book provides a concise state-of-the-art overview of the theory and applications of polynomials that are sums of squares. This is an exciting and timely topic, with rich connections to many areas of mathematics, including polynomial and semidefinite optimization, real and convex algebraic geometry, and theoretical computer science.The six chapters introduce and survey recent developments in this area; specific topics include the algebraic and geometric aspects of sums of squares and spectrahedra, lifted representations of convex sets, and the algorithmic and computational implications of viewing sums of squares as a meta algorithm. The book also showcases practical applications of the techniques across a variety of areas, including control theory, statistics, finance and machine learning.

Seller Inventory # 9781470450250

Bibliographic Details

• Title: Sum of Squares : Theory and Applications
• Publisher: American Mathematical Society Sep 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 1470450259
• ISBN 13: 9781470450250
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 257W x 182H x 12D millimeters 257 millimeters width by 182 millimeters height by 12 millimeters depth
• Weight: 278 grams

About this title

Synopsis

This volume is based on lectures delivered at the 2019 AMS Short Course Sum of Squares: Theory and Applications , held January 14 15, 2019, in Baltimore, Maryland. This book provides a concise state-of-the-art overview of the theory and applications of polynomials that are sums of squares. This is an exciting and timely topic, with rich connections to many areas of mathematics, including polynomial and semidefinite optimization, real and convex algebraic geometry, and theoretical computer science. The six chapters introduce and survey recent developments in this area; specific topics include the algebraic and geometric aspects of sums of squares and spectrahedra, lifted representations of convex sets, and the algorithmic and computational implications of viewing sums of squares as a meta algorithm. The book also showcases practical applications of the techniques across a variety of areas, including control theory, statistics, finance and machine learning.