On 2-strong connectivity orientations of mixed graphs and related problems
Loukas Georgiadis, Dionysios Kefallinos, Evangelos Kosinas

TL;DR
This paper introduces a linear-time algorithm to find maximal vertex sets in mixed graphs that remain strongly connected under edge removal, by reducing the problem to computing 2-edge twinless strongly connected components.
Contribution
It presents a novel linear-time solution for a new orientation problem in mixed graphs, extending understanding of strong connectivity under edge removal.
Findings
The problem can be solved in linear time.
The solution reduces to computing 2-edge twinless strongly connected components.
Applications include network design and structural stability.
Abstract
A mixed graph is a graph that consists of both undirected and directed edges. An orientation of is formed by orienting all the undirected edges of , i.e., converting each undirected edge into a directed edge that is either or . The problem of finding an orientation of a mixed graph that makes it strongly connected is well understood and can be solved in linear time. Here we introduce the following orientation problem in mixed graphs. Given a mixed graph , we wish to compute its maximal sets of vertices with the property that by removing any edge from (directed or undirected), there is an orientation of such that all vertices in are strongly connected in . We discuss properties of those sets, and we show how to solve this problem in linear time by reducing it to the computation of the…
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Taxonomy
TopicsVLSI and FPGA Design Techniques · Advanced Graph Theory Research · Structural Behavior of Reinforced Concrete
