Basic Convex Optimization

This chapter introduces the key concepts of optimization, such as objective function, constraints, local and global minimizers, and gradient descent algorithms. The rate of convergence for the steepest descent algorithm is analyzed when the objective function is smooth and convex or smooth and stron... View More