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µf= µ f−1 (A′ → 0,∞, A′ → µf(A′) = µ(f−1(A′)) ein Maß µf auf A′ definiert Es heißt Bildmaß von µunter f Im Fall µ = P eines Wahrscheinlichkeitsmaßes und einer (A,A′)messbaren Abbildung X Ω → Ω′ heißt PX die Verteilung von X Achtung H¨aufig findet man auch die Bezeichnung f(µ) = µf(= µ f. • Consider a sequence of µk 0 < µk1 < µk and µk → 0 • Consider the problem x k = argminx ∈S f(x)µ kG(x) • Theorem Every limit point xk generated by a barrier method is a global minimum of the original constrained problem 1. ´ e f h x r o m ¹ j l k º g i q v t » w d V X S O L W M U O P ^ V N q g l t o u w x v f · ¼ ½ ¦ ¾ ¿ f p u r m v o n g À i t z h k Á l { w x à · {o u w h r z m f p v À ´ Ä} º k ´ Å ´ à · µ g f q x l m r h t Æ o p k s u y z n.

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