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lecture. - CASTLE Lab - Princeton University

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More Assumptions...<br />

Perturbation Theorems<br />

For t > 0, consider the perturbed problems<br />

P(t) : minimize f(x)+tηt(x) subject to x ∈ X,<br />

where the perturbations ηt(x) satisfy the following assumptions:<br />

• B1’. The functions ηt are Lipschitz continuous on U.<br />

• B2. ηt converges to a function which is Lipschitz continuous as t ↓ 0.<br />

• B3. The function η is differentiable at ¯x. In particular we can expand<br />

η(x(t)) where x(t) = x +th+ t2<br />

s w +o(t2 ) as follows:<br />

η(x(t)) = η(¯x)+t∇η(¯x)h+o(t).<br />

Let gt(x) = f(x)+tηt(x), and consider v(t) = minCg and ¯x(t) = argmin C gt.<br />

Boris Defourny (ORFE) Lecture 6: Perturbation Analysis in Optimization March 15,2012 25 / 26

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