Quadratic programming: Difference between revisions

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(2) C*x = d (equality contraint)
 
If E is positive definite then f(x) is a '''convex function''' , and constraints are '''linear functions''', we have from optimization theory that for point x to be an optimum point it is necessary and sufficient that x is a Karush-Kuhn-Tucker (KKT) point.
 
(this article needs a lot more work..)