diff --git a/main.pdf b/main.pdf index fc5c57d..238256f 100644 Binary files a/main.pdf and b/main.pdf differ diff --git a/main.tex b/main.tex index 8c12f7a..28b0d1f 100644 --- a/main.tex +++ b/main.tex @@ -152,7 +152,14 @@ s.t.& & \sum_{e\in T} x_e+y_e&\geq 1 & &\forall T\quad \text{($x$ fo \end{aligned} \end{equation*} -Note that now this is almost a positive covering LP. +Note that now this is almost a positive covering LP. Let $L(\lambda)= \min \{ w(C\setminus F)-\lambda(b-c(F)) | \forall \text{cut $C$}\;\forall F\subset C \land c(F)\leq b\}$ Consider the Lagrangian dual, +\begin{equation*} +\max_{\lambda\geq 0} L(\lambda)= \max_{\lambda\geq 0} \min \left\{ w(C\setminus F)-\lambda(b-c(F)), \forall \text{cut $C$}\;\forall F\subset C \land c(F)\leq b\right\} +\end{equation*} + + +At this point, it becomes clear how the normalized min-cut is implicated in \cite{vygen_fptas_2024}. The optimum of normalized min-cut is exactly the value of $\lambda$ when $L(\lambda)$ is 0. + \section{Random Stuff}