Optimization and Simulation

Related lectures (32)

Page 3 of 4

Discusses optimization vs. simulation in energy systems engineering, district heating networks, and scientific writing guidelines.

Introduces the Metropolis-Hastings algorithm for efficient simulation of random variables with given probabilities.

Explores the motivation and algorithm behind the Monte Carlo Chain method.

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Explores optimization, simulation, heuristics, and Pareto solutions in multi-objective problems.

Covers the basic concepts of Quantum Monte Carlo and its application in spin chains, Markov chains, and Monte Carlo simulations.

Explores Monte Carlo moves in simulation, including trial moves and biased moves, comparing Monte Carlo with Molecular Dynamics.

By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.