Lesson 26: Optimization II: Data Fitting

This document contains: 1) An announcement about an assigned problem set due November 28th and office hours. 2) A summary of the regression theorem for finding local maxima, minima, and saddle points of functions with two variables. 3) An example of classifying critical points of a function. 4) A discussion of finding the line of best fit to a set of data points by minimizing the sum of squared errors between the data points and fitted line.