@@ -5,7 +5,6 @@
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\geometry{margin=2cm}
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\title{A Note on Interdiction of Linear Minimization Problems}
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\author{Yu Cong \and Kangyi Tian}
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\date{\today}
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\DeclareMathOperator*{\opt}{OPT}
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@@ -40,26 +39,13 @@ The linear minimization interdiction problem considered here is
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\begin{equation}\label{eq:interdiction}
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\opt
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=
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\min_{\substack{S\in\mathcal F,\; R\subseteq S\\ c(R)\leq b}}
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w(S\setminus R),
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\min \set{w(S\setminus R)\;|\;S\in\mathcal F,\; R\subseteq S,c(R)\leq b},
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\end{equation}
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where $c(R)=\sum_{e\in R}c(e)$. This is equivalent to first deleting an
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arbitrary set $R$ with $c(R)\leq b$ and then minimizing $w(S\setminus R)$ over
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$S\in\mathcal F$, because only $R\cap S$ affects the value of a chosen feasible
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set $S$.
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Connectivity interdiction is the special case where $\mathcal F$ is the family
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of cuts of a graph. In that case \eqref{eq:interdiction} is exactly the
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$b$-free min-cut formulation
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\[
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\min_{\substack{\text{cut } C,\;R\subseteq C\\c(R)\leq b}}
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w(C\setminus R).
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\]
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The argument below uses both minimization and linearity. Minimization gives the
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near-minimizer certificate in \autoref{thm:two-approx-witness}; linearity gives
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the truncation formula $w_\lambda(e)=\min\{w(e),\lambda c(e)\}$.
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\section{Lagrangian relaxation}
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It is helpful to first look at \eqref{eq:interdiction} as an integer program,
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