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Nov 1, 2015 at 15:20 comment added gerw I do not have any specific suggestions. Farkas' lemma should be contained in any (introductory) book on non-linear optimization. Otherwise, consult any (introductory) book on convex optimization.
Nov 1, 2015 at 5:56 comment added behrad mahboobi can you take a look on my new question please. mathoverflow.net/questions/222346/…
Nov 1, 2015 at 3:42 vote accept behrad mahboobi
Nov 1, 2015 at 3:39 comment added behrad mahboobi thank you so much Gerw, do u proposed any text book in this field that cover tangent cone, fakas lemma and related topics in convex analysis?
Oct 31, 2015 at 19:49 comment added gerw No. $S$ is always convex by assumption. You only drop the non-active constraints in the proof, exactly at those points, where the derivatives $g_i'(x)$ appear.
Oct 31, 2015 at 19:33 comment added behrad mahboobi then we reduce to a nonconvex set to obtain a tangent cone which tangent cone is only defined for convex sets!
Oct 31, 2015 at 19:09 comment added gerw Then, you write down the same proof, but leave out the non-active constraints. This is typically done by introducing the set $A(x) = \{i : g_i(x) = 0\}$ of active constraints.
Oct 31, 2015 at 19:07 comment added behrad mahboobi what if both constraints aren't active in the same time ? can we claim that in any conditoon KKT condition result in $$-\nabla f (x) \in \{d : g_1'(x) \, d \le 0, g_2'(x) \, d \le 0\}^\circ.$$, independent of the convesity of $f,S$?
Oct 31, 2015 at 19:05 vote accept behrad mahboobi
Oct 31, 2015 at 19:06
Oct 29, 2015 at 19:00 history answered gerw CC BY-SA 3.0