Explores Sum of Squares polynomials and Semidefinite Programming in Polynomial Optimization, enabling the approximation of non-convex polynomials with convex SDP.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
