Mathematical optimization

Related lectures (29)

Page 2 of 3

Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Covers optimization problems, minimal packing, and bounds in Integer Optimization.

Explores convexifying nonconvex problems through relaxation techniques, illustrated with total variation reconstruction examples.

Covers semi-definite programming and optimization over positive semidefinite cones.

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

Covers the basics of constrained optimization, including tangent directions, trust-region subproblems, and necessary optimality conditions.

Explores distributionally robust portfolio optimization and compares different estimation approaches and methods for portfolio evaluation.

Explores multi-task learning for accelerated chemical reaction optimization, showcasing challenges, automated workflows, and optimization algorithms.

Covers optimality conditions, strong duality, and complementarity slackness in linear optimization.