Topic 8c -- Multivariable Optimization
This video lecture builds on the previous to discuss optimization across multiple variables. Some mathematical preliminaries discussed are scalar and vector fields, gradients and Hessians, and revised derivative tests to multiple variables. Optimization methods include univariate search, Powell's method, steepest ascent method, and Newton's method for multiple variables.