A Parameterized Algorithm for Mixed Cut
Ashutosh Rai, M. S. Ramanujan, Saket Saurabh

TL;DR
This paper introduces a fixed parameter algorithm for the NP-complete Mixed-Multiway Cut-Uncut problem, which involves disconnecting terminal pairs in a graph by deleting a limited number of vertices and edges, extending classical min-max theorems.
Contribution
The paper develops a fixed parameter algorithm for the generalized Mixed-Multiway Cut-Uncut problem using recursive understanding, advancing parameterized complexity methods.
Findings
Established NP-completeness of the Mixed-Cut problem.
Designed a fixed parameter algorithm for the generalized problem.
Extended the recursive understanding technique to this problem.
Abstract
The classical Menger's theorem states that in any undirected (or directed) graph , given a pair of vertices and , the maximum number of vertex (edge) disjoint paths is equal to the minimum number of vertices (edges) needed to disconnect from and . This min-max result can be turned into a polynomial time algorithm to find the maximum number of vertex (edge) disjoint paths as well as the minimum number of vertices (edges) needed to disconnect from . In this paper we study a mixed version of this problem, called Mixed-Cut, where we are given an undirected graph , vertices and , positive integers and and the objective is to test whether there exist a sized vertex set and an sized edge set such that deletion of and from disconnects from and . We start with a small observation that this…
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