Duration: (54:13) ?Subscribe5835 2025-02-28T13:24:35+00:00
ECE 5500 Lec 1: Introduction to the course, norms
(55:32)
ECE 5500 Lec 28: Derivation of Backpropagation algorithm, Principle of Dynamic Programming
(53:37)
ECE 5500 Lec 11: Momentum method, Nesterov accelerated gradient, Adagrad and Adadelta methods
(55:2)
ECE 5500 Lec 29: Dynamic Programming Algorithm
(53:26)
ECE 5500 Lec 34: Non-parametric and randomized function approximators
(45:3)
ECE 5500 Lec 15: Manifold suboptimization method
(54:44)
ECE 5500 Lec 35: Formulating and solving an optimization problem starting from a business problem
(50:42)
ECE 5500 Lec 17: Affine Scaling for Linear Program and Proximal Algorithm for Optimization
(51:33)
ECE 5500 Lec 18: Lagrange multiplier theorem
(54:13)
ECE 5500 Lec 14: Conditional Gradient and Gradient Projection Methods
(54:4)
ECE 4500-5500-W18 - Team 5 - Robo Rush Hour
(37)
ECE 5500 Lec 2: Sequences, Limsup, Liminf, and Subsequences
ECE 5500 Lec 31: Approximate DP for Singularly Perturbed Systems
(56:33)
ECE 5500 Lec 20: KKT Theorem, Sufficient Condition for Optimality, Introduction to Barrier Method
(54:59)
ECE 5500 Lec 27: Dynamic Optimization and Pontryagin Minimum Principle for unconstrained action set
(54:52)
ECE 5500 Lec 10: Quasi Newton method, DFP and BFGS method
(45:49)
ECE 5500 Lec 16: Manifold Suboptimization Method
(54:51)