Lecture II (Days 5,6,7,8): Applications/Algorithms

( Back to Main Course Page; back to Lecture 1; onto Lecture 3; )
  1. Applications

    1. (Robust) Approximation Notes, 6.18; (Robust) Approximation Slides; (Robust) Approximation Book pages;

        Stochastic robust approx., worst-case robust approx., uncertainty sets
    2. Geometric Problems Notes, 8...; Geometric Problems Slides; Geometric Problems Book pages;

        Minimum (maximum) volume ellipsoids, analytic center, linear discrimination, robust linear discrimination, support vector classifier sets

  2. Algorithms

    1. Unconstrained Minimization Notes, 9; Unconstrained Minimization Slides; Unconstrained Minimization Book pages;

    2. Equality constrained Minimization Notes, 9; Equality constrained Minimization Slides; Equality constrained Minimization Book pages;

        QPs, eliminations, Newton step, solving KKT system
    3. Interior-point Methods Notes, 9; Interior-point Methods Slides; Interior-point Methods Book pages;



Supplementary Information

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Supplementary Information

Back to Main Course Page


Start of 's Home Page (more ambigrams)
[DIR]Users' Home Pages on orion.math,