diff --git a/main.pdf b/main.pdf index 1a46645..accd4f0 100644 Binary files a/main.pdf and b/main.pdf differ diff --git a/main.tex b/main.tex index 991ceff..e328023 100644 --- a/main.tex +++ b/main.tex @@ -197,7 +197,7 @@ The number of breakpoints on $L(\lambda)$ is at most $n-1$. (there is a $\pm1$ difference between principal partition and graph strength... but we dont care those $c\lambda$ terms since the difficult part is minimize $L(\lambda)$ for fixed $\lambda$) \subsection{principal sequence of partitions for cut interdiction} -Now we focus One $L(\lambda)=\min \{w(C\setminus F)-\lambda(b-c(F)) | \forall \text{cut } C\;\forall F\subset C\}$. We can still assume that $G$ is connected and see that $L(\lambda)$ is pwl concave. Let $\lambda^*$ be a breakpoint on $L$. Suppose that there are two optimal solutions $(C_1,F_1)$ and $(C_2,F_2)$ at $\lambda^*$. For fixed $C$ ($C_1=C_2$), the same argument for principal partition still works. However, the difficult part is that $C$ might not be the same. +Now we focus on $L(\lambda)=\min \{w(C\setminus F)-\lambda(b-c(F)) | \forall \text{cut } C\;\forall F\subset C\}$. We can still assume that $G$ is connected and see that $L(\lambda)$ is pwl concave. Let $\lambda^*$ be a breakpoint on $L$. Suppose that there are two optimal solutions $(C_1,F_1)$ and $(C_2,F_2)$ at $\lambda^*$. For fixed $C$ ($C_1=C_2$), the same argument for principal partition still works. However, the difficult part is that $C$ might not be the same. \subsection{integrality gap} I guess the 2 approximation cut enumeration algorithm implies a integrality gap of 2 for cut interdiction problem.