MATLAB and Simulink Based Books
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.
Grigoriy Blekherman, Georgia Institute of Technology
Pablo A. Parrilo, Massachusetts Institute of Technology
Rekha R. Thomas, University of Washington