Lecture II (Days 5,6,7,8):
Applications/Algorithms
(
Back to Main Course Page;
back to Lecture 1;
onto Lecture 3;
)
-
Applications
-
Stochastic robust approx., worst-case robust approx., uncertainty
sets
-
Minimum (maximum) volume ellipsoids, analytic center, linear
discrimination, robust linear discrimination, support vector classifier
sets
-
Algorithms
-
strong convexity, descent methods, line searches, steepest descent,
Newton's method, implementation, nondescent
methods
-
QPs, eliminations, Newton step, solving KKT system
-
Supplementary Information
-
-
Suggested Texts/References:
Back to Main Course Page
Start of
's
Home Page
(more
ambigrams)
Users' Home Pages on
orion.math,