Optimization and Simulation

Related lectures (32)

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Explores Bayesian inference, knapsack problem, and prediction using Markov Chain Monte Carlo methods.

Discusses optimizing object retrieval in cluttered environments using efficient stacking and destacking techniques.

Explores the process of detail design in mechanical engineering, from concept to final design.

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Covers simulation, modeling, acceleration profiles, natural frequencies, rigidity calculations, and anti-resonance solutions for multi-axes robots.

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

Explores transformations into single-objective functions, lexicographic rules, and constrained optimization in optimization and simulation.

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

Explores optimization and simulation techniques for variance reduction in draws.

Explores finite element methodology, covering geometric modeling, technical data, physical behavior assumptions, and mesh convergence studies.