Trade-offs in Data and TimeExplores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.
Convex Sets and FunctionsIntroduces convex sets and functions, discussing minimizers, optimality conditions, and characterizations, along with examples and key inequalities.
Convex OptimizationIntroduces convex optimization, focusing on the importance of convexity in algorithms and optimization problems.
Projected Gradient DescentExplores convex constrained optimization through Projected Gradient Descent, focusing on tangent space and iterative minimization.
