The lecture slides will be made available in pdf format timely throughout the lecture.
Overview of Optimization Course, Introduction to Discrete Optimization and Graphs (slides as pdf)
Basic Flavors of Complexity Theory (slides as pdf)
Greedy algorithms (slides as pdf)
Branch and bound (slides as pdf)
Dynamic Programming (slides as pdf)
Approximation Algorithms and Heuristics (slides as pdf)
Introduction to Continuous Optimization I (slides as pdf)
Introduction to Continuous Optimization II (slides as pdf)
Introduction to Continuous Optimization III: Gradient-based Algorithms (slides as pdf)
Derivative-free Optimization I (slides as pdf)
Derivative-free Optimization II (slides as pdf)