Semidefinite Optimization and Convex Algebraic Geometry
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
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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