Covers the Branch & Bound algorithm for efficient exploration of feasible solutions and discusses LP relaxation, portfolio optimization, Nonlinear Programming, and various optimization problems.
Explores the practical applications and implications of the Capital Asset Pricing Model in finance, including estimating betas and calculating expected returns.
Explores Sum of Squares polynomials and Semidefinite Programming in Polynomial Optimization, enabling the approximation of non-convex polynomials with convex SDP.
Covers risk and uncertainty in environmental projects, focusing on cost-benefit analysis and the concept of certainty equivalent for risk-averse individuals.