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Semidefinite Optimization and Convex Algebraic Geometry

Semidefinite Optimization and Convex Algebraic Geometry

Written for students in engineering, mathematics, and computer science, Semidefinite Optimization and Convex Algebraic Geometry provides a self-contained, accessible introduction to the mathematical advances and challenges resulting from the use of semidefinite programming in polynomial optimization. Topics include semidefinite optimization, polynomial optimization, sums of squares and applications, dualities, and convex hulls of algebraic sets.

MATLAB is used to solve numerous examples in the book.

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About This Book

Grigoriy Blekherman, Georgia Institute of Technology
Pablo A. Parrilo, Massachusetts Institute of Technology
Rekha R. Thomas, University of Washington

SIAM, 2013

ISBN: 978-1-611972-28-3
Language: English