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Line 87: The following are useful properties of convex optimization problems:<ref name="rockafellar93">{{cite journal \| author = Rockafellar, R. Tyrrell \| title = Lagrange multipliers and optimality \| journal = SIAM Review \| volume = 35 \| issue = 2 \| year = 1993 \| pages = 183–238 \|url = http://web.williams.edu/Mathematics/sjmiller/public_html/105Sp10/handouts/Rockafellar_LagrangeMultAndOptimality.pdf \| doi=10.1137/1035044\| citeseerx = 10.1.1.161.7209}}</ref><ref name=":2" />{{Rp\|___location=chpt.4}} * every point that is [[local minimum]] is a also a [[global minimum]]; * the optimal set is convex; * if the objective function is ''strictly'' convex, then the problem has at most one optimal point.

Convex optimization: Difference between revisions