generated from sxlxc/pdflatex-note
remove zed tasks. remove takeaways. fix things
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// Static tasks configuration.
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//
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[
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{
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"label": "forward_search",
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"command": "/Applications/Skim.app/Contents/SharedSupport/displayline -r -z -b $ZED_ROW $ZED_DIRNAME/$ZED_STEM.pdf",
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"allow_concurrent_runs": false,
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"reveal": "never",
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"hide": "always"
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},
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{
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"label": "pdflatex_view",
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"command": "cd \"$ZED_DIRNAME\" && pdflatex -shell-escape -synctex=-1 \"$ZED_STEM\" && /Applications/Skim.app/Contents/SharedSupport/displayline -r -z -b $ZED_ROW \"$ZED_STEM\".pdf",
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"allow_concurrent_runs": false,
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"reveal": "no_focus",
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"hide": "on_success"
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},
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{
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"label": "latexmk_view",
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"command": "cd \"$ZED_DIRNAME\" && latexmk -pdf \"$ZED_STEM\" && /Applications/Skim.app/Contents/SharedSupport/displayline -r -z -b $ZED_ROW \"$ZED_STEM\".pdf",
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"allow_concurrent_runs": false,
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"reveal": "no_focus",
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"hide": "on_success"
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}
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]
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39
main.tex
39
main.tex
@@ -97,16 +97,27 @@ Given the same input as connectivity interdiction, find
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\end{problem}
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\end{problem}
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\p
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\p
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First considered in [Chalermsook \etal{}, ICALP'22] as a subproblem in MWU framework when solving minimum $k$-edge connected spanning subgraph (ECSS) problem.
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... first appear in [Chalermsook \etal{}, ICALP'22] as a subproblem in MWU framework when solving some positive covering LP\footnote{minimum $k$-edge connected spanning subgraph}.
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\end{frame}
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\end{frame}
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\begin{frame}{Method in [Huang \etal{}, IPCO'24]}
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\begin{frame}{Method in [Huang \etal{}, IPCO'24]}
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Let $\tau$ be a $(1+\e)$-approximation to the normalized min-cut and let $C^*$ be the optimal $B$-free cut.
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$\tau$ is a $(1+\e)$-approximation to the normalized min-cut\\
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\begin{lemma}
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$C^*$ is the optimal $B$-free cut.
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$C^*$ is a $(2+2\e)$-approximate min-cut in $(G,w_\tau)$,
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\p
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\begin{lemma}
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There is an edge weight $w_\tau$ such that\\
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$C^*$ is a $(2+2\e)$-approximate min-cut in $(G,w_\tau)$,
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where $w_\tau(e)=\min(\tau c(e),w(e))$ is the truncated edge weight.
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where $w_\tau(e)=\min(\tau c(e),w(e))$ is the truncated edge weight.
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\end{lemma}
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\end{lemma}
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\p
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\begin{algo}
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enumerate approx solutions to normalized min-cut \quad \textcolor{gray}{$\log_{1+\e}(Bnw_{\max})$}\\
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\quad reweight the graph \quad \textcolor{gray}{$O(m)$}\\
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\quad enumerate all $2+2\e$ min-cuts \quad \textcolor{gray}{$\tilde O(n^4)$}\\
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\quad\quad run FPTAS for knapsack on the cut
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\end{algo}
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\end{frame}
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\end{frame}
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\begin{frame}{LP method}
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\begin{frame}{LP method}
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@@ -139,7 +150,7 @@ Let $C^*$ be the optimal $B$-free mincut and let $\lambda^*$ be the optimal solu
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\section{Cogirth of perturbed graphic matroids}
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\section{Cogirth of perturbed graphic matroids}
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\begin{frame}{Matroid}
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\begin{frame}{Matroid}
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A matroid $M=(E,\mathcal B)$ is a structure on set $E$.
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A \emph{matroid} $M=(E,\mathcal B)$ is a structure on set $E$.
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``Bases'' $\mathcal B$ is a collection of subsets with the following properties:
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``Bases'' $\mathcal B$ is a collection of subsets with the following properties:
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\begin{itemize}
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\begin{itemize}
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@@ -150,15 +161,15 @@ then there exists $b\in B-A$ such that $A-a+b\in \mathcal B$.
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\end{itemize}
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\end{itemize}
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\p
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\p
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$X\subset E$ is a cocycle if $X\cap B$ is not empty for all $B\in \mathcal B$.
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$X\subset E$ is a \emph{cocycle} if $X\cap B$ is not empty for all $B\in \mathcal B$.
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The size of minimum cocycle is the cogirth.
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The size of minimum cocycle is the \emph{cogirth}.
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\end{frame}
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\end{frame}
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\begin{frame}{Examples}
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\begin{frame}{Examples}
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\begin{itemize}
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\begin{itemize}
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\item Graphic matroids. $E$ is the edge set. $\mathcal B$ is the collection of all spanning forests. Cogirth is the size of min-cut.
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\item Graphic matroids. $E$ is the edge set. $\mathcal B$ is the collection of all spanning forests. Cogirth is the size of min-cut.
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\item Uniform matroids. $E$ is a set. $\mathcal B$ is the collection of all subsets of $E$ with $5$ elements. Cogirth is $|E|-4$.
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\item Uniform matroids. $E$ is a large set. $\mathcal B$ is the collection of all subsets of $E$ with $5$ elements. Cogirth is $|E|-4$.
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\item Binary matroids. $E$ is a set of binary vectors. $\mathcal B$ is the collection of maximum linearly independent sets. What is the cogirth?
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\item Binary matroids. $E$ is a set of binary vectors. $\mathcal B$ is the collection of maximum linearly independent sets. What is the cogirth?
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\item ...
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\item ...
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\end{itemize}
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\end{itemize}
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@@ -253,10 +264,10 @@ If $M$ and deletion minors of $M$ have constant gap, then $M(A')/\tau$ has const
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\end{frame}
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\end{frame}
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% \section{Conclusion}
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% \section{Conclusion}
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\begin{frame}{Takeaways}
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% \begin{frame}{Takeaways}
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\begin{itemize}
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% \begin{itemize}
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\item try LP methods whenever possible \pause
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% \item try LP methods whenever possible \pause
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\item Look at the easy cases/minors first: many theorems want to generalize
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% \item Look at the easy cases/minors first: many theorems want to generalize
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\end{itemize}
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% \end{itemize}
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\end{frame}
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% \end{frame}
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\end{document}
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\end{document}
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