Class 2



  1. Fundamentals Unconstrained Opt. cont... (Chapter 2)
    1. Recognizing Solutions
      1. Definitions: gradient, Hessian, Taylor's Theorem, order notation (big and little O)
      2. directional derivative, curvature, linear model, direction of steepest descent
      3. first and second order necessary optimality conditions
      4. second order sufficient optimality conditions