Trust region methods: Global convergence with minimal effort

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 3 of 4

Computational Design of Deployable Structures

Explores computational design of deployable structures and programmable mechanical metamaterials with stable memory.

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.

Implicit Bias in Machine Learning

Explores implicit bias, gradient descent, stability in optimization algorithms, and generalization bounds in machine learning.

Cutset Formulation: MST Problem

Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.

Markov Chains and Algorithm Applications

Covers the application of Markov chains and algorithms for function optimization and graph colorings.

Optimization Techniques: Convexity in Machine Learning

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

Nonlinear Optimization

Covers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.

Machine Learning in Chemistry: Bayesian Reaction Optimization

Explores machine learning in chemistry, focusing on Bayesian reaction optimization and shifting the experimental burden from humans to machines.

Optimization Duality: Theory and Algorithms

Explores optimization duality, weak and strong duality, practical optimization algorithms, and challenges in nonconvex-concave problems.

Primal-dual Optimization: Extra-Gradient Method

Explores the Extra-Gradient Method for primal-dual optimization in min-max problems and its convergence properties.