Explores the convexity of Lovász extension and submodular function maximization, focusing on extending functions to convex sets and proving their convexity.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Discusses predicting completion time and optimizing activities through efficient orchestration strategies and experiment-based completion curve predictions.
