Convex Optimization I, Lecture 1: Introduction and Convex Optimization Overview

Dive into the conceptual foundations of optimization with Professor Stephen Boyd from Stanford University. This lecture covers linear programming (including the Simplex Method as a case study), introduces convex sets and functions, explores the core concepts of convex optimization, and provides an introduction to gradient descent—all crucial for understanding machine learning, product design, and business applications.