Optimization and Simulation

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Related lectures (31)

Page 3 of 4

Covers the general framework of optimization and simulation, including deterministic control and the optimization problem.

Computational Aspects of Optimization

Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Optimisation Strategies: Energy Systems Modelling and Optimization

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Optimization and Simulation

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

Optimization and Simulation: Heuristics and Neighborhoods

Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.

Optimization Techniques: Convexity in Machine Learning

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

Simplex Algorithm: Initial Tableau & General Case

Covers the simplex algorithm, from initial tableau to general case.

Combinatorial Optimization: Simulated Annealing

Explores combinatorial optimization using simulated annealing to find ground states in frustrated systems and address challenges in satisfying all interactions simultaneously.

Recommender Systems: Matrix Factorization

Explores matrix factorization in recommender systems, covering optimization, evaluation metrics, and challenges in scaling.