The lecture slides will be made available in pdf format timely throughout the lecture.
Overview of Optimization Course, Introduction to Discrete Optimization and Greedy Algorithms (pdf)
Dynamic Programming and Branch and Bound (pdf)
Approximation Algorithms and Heuristics (pdf)
Continuous Optimization I (pdf)
Continuous Optimization II (pdf)
Gradient-based Algorithms (pdf)
Stochastic Methods for Continuous Optimization (Material taken from this pdf)
Link to implementations of the CMA-ES algorithm