CONTENTS

  1. Calculus & Linear Algebra Prerequisites
  2. The general optimization problem
  3. Calculus of variations
  4. Structure of Algorithms
  5. Conjugate Directions
  6. Conjugate Gradient Methods
  7. Newton's Method
  8. Methods for Sums of Squares
  9. Introduction to Optimization with constraints