Class 1



  1. Introduction (Chapter 1, pgs 1-4,6,8)
    1. Mathematical Formulation: example, level sets
    2. Definitions: local and global optima
    3. Definitions: convexity
  2. Fundamentals of Unconstrained Optimization (Chapter 2 - complete chapter except for R-Rates of Convergence)
    1. Example of nonlinear least squares data fitting
    2. Definitions: gradient, Hessian, Taylor's Theorem