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Related lectures (31)

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Manopt: Optimization on Manifolds

Introduces Manopt, a toolbox for optimization on manifolds, covering gradient and Hessian checks, solver calls, and manual caching.

Axial Deformation in Elasticity: Fundamentals

Explores equilibrium equations, strain linearity, Hooke's law, and boundary conditions.

Optimization and Simulation

Explores greedy heuristics in optimization, integrality constraints, and comparison of optimization methods.

Integer Optimization: Theory and Applications

Covers the fundamentals of integer optimization, including integer programming, dynamic programming, and approximation algorithms.

Optimization and Simulation: Bayesian Inference

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

Minimum Spanning Trees: Prim's Algorithm

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Support Vector Machines

Introduces Support Vector Machines, covering Hinge Loss, hyperplane separation, and non-linear classification using kernels.

Linear Optimization: Active Constraints

Explores the significance of active constraints in linear optimization, showcasing how they influence the simplification of problems by focusing on relevant constraints.

Exact Methods for Integer Optimization

Covers exact methods for integer optimization, emphasizing Branch and Bound techniques.

Generalization of the Model Problem

Covers the generalization of the model problem in structural mechanics and explores equilibrium equations and the link between normal force and displacement.