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Related lectures (9)
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Constraint Satisfaction: Formulation and Algorithms
Covers the formulation of constraint satisfaction problems and systematic algorithms for solving them efficiently.
Optimization Techniques: Local Search, VNS, Simulated Annealing
Explores optimization techniques like local search, VNS, and simulated annealing.
Ant Colony Optimization: Routing and Optimization
Explores Ant Colony Optimization (ACO) for routing and optimization, discussing constructive heuristics, local search, pheromone mechanisms, and real-world applications.
Lipschitz Gradient Theorem
Covers the Lipschitz gradient theorem and its applications in function optimization.
Riemannian gradient descent
Explores Riemannian gradient descent, covering Taylor expansions, optimality conditions, algorithm templates, line search, and critical points.
Optimization and Simulation: Heuristics and Neighborhoods
Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.
Nonlinear Optimization: Newton's Method
Explores nonlinear optimization, focusing on Newton's method and descent methods for finding optimal solutions efficiently.
Convex Sets: MGT-418 Lecture
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Optimization Methods in Machine Learning
Explores optimization methods in machine learning, emphasizing gradients, costs, and computational efforts for efficient model training.
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