Lectures related to The transhipment problem, The maximum flow problem

Explores Dynamically Scheduled HLS and imperative language compilation for dataflow machines.

Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Explores energy system modeling using optimization techniques and performance indicators.

Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.

Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.

Covers optimization methods, focusing on gradient methods and line search techniques.

Covers the Newton's local method in Python using NumPy for optimization.