Syllabus – Applied Optimisation

Applied Optimisation

  1. The Basic Optimisation Problem
    1. General Formulation;
    2. Special Cases: Linear Programs; Convex Optimisation Problems;
    3. Motivating Examples
  2. Linear Programming
    1. General form;
    2. Simplex Method;
    3. Applications in Network Flow;
  3. Convex Optimisation
    1. Algorithms for Convex Optimisation;
    2. Applications of Convex Optimisation;
    3. Convex Optimisation in Communications and Signal Processing;
    4. Convex Optimisation in Wireless Communications
  4. General Optimisation
    1. Mixed Integer Programming;
    2. Algorithms and Heuristics;
    3. Applications to VLSI and other relevant applications