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 17: Affine Scaling for Linear Program and Proximal Algorithm for Optimization

(51:33)

ECE 5500 Lec 11: Momentum method, Nesterov accelerated gradient, Adagrad and Adadelta methods

(55:2)

ECE 5500 Lec 15: Manifold suboptimization method

(54:44)

ECE 5500 Lec 29: Dynamic Programming Algorithm

(53:26)

ECE 5500 Lec 16: Manifold Suboptimization Method

(54:51)

ECE 5500 Lec 18: Lagrange multiplier theorem

(54:13)

ECE 5500 Lec 19: Lagrange Multiplier theorem, Sufficient Conditions, and Sensitivity Theorem

(50:41)

ECE 5500 Lec 34: Non-parametric and randomized function approximators

(45:3)

ECE 5500 Lec 2: Sequences, Limsup, Liminf, and Subsequences

(54:13)

ECE 5500 Lec 12: Optimization over Convex Sets, Necessary conditions for optimality

(54:44)

ECE 4500/5500 - W21 - Final Project - Group 1 - 5 Presentations

(1:45:16)

ECE 5500 Lec 14: Conditional Gradient and Gradient Projection Methods

(54:4)

ECE 5500 Lec 35: Formulating and solving an optimization problem starting from a business problem

(50:42)

ECE 5500 Lec 23: Sequential Quadratic Programming for Constrained Optimization Problems

(52:32)

ECE 5500 Lec 20: KKT Theorem, Sufficient Condition for Optimality, Introduction to Barrier Method

(54:59)