Optimization Methods

Related lectures (31)

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Explores choosing a step size in optimization on manifolds, including backtracking line-search and the Armijo method.

Explores the design and optimization of car suspensions for improved performance.

Covers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods.

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

Covers the derivation of PCA projection, error minimization, and eigenvector optimization.

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Explores the Wolfe conditions for line search algorithms and proves the finiteness of the line search parameter.

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

Explores the integrality gap concept in set cover and multiplicative weights algorithms.

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