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Reconfiguring Shortest Paths in Graphs

Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri

2022Year
13Citations
1Top-tier citations

Abstract

Reconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time so that all the intermediate paths are also shortest paths. This problem has several natural applications, namely: (a) repaving road networks, (b) rerouting data packets in a synchronous multiprocessing setting, (c) the shipping container stowage problem, and (d) the train marshalling problem. When modelled as graph problems, (a) is the most general case while (b), (c), (d) are restrictions to different graph classes. We show that (a) does not admit polynomial-time algorithms (assuming P≠NPminimal amsmath wasysym amsfonts amssymb amsbsy mathrsfs upgreek -69pt document P ≠ NP {{\,\mathrm{\texttt {P}}\,}}\ne {{\,\mathrm{\texttt {NP}}\,}}document), even for relaxed variants of the problem (assuming P≠PSPACEminimal amsmath wasysym amsfonts amssymb amsbsy mathrsfs upgreek -69pt document P ≠ PSPACE {{\,\mathrm{\texttt {P}}\,}}\ne {{\,\mathrm{\texttt {PSPACE}}\,}}document). For (b), (c), (d), we present polynomial-time algorithms to solve the respective problems. We also generalize the problem to when at most k (for a fixed integer k≥2minimal amsmath wasysym amsfonts amssymb amsbsy mathrsfs upgreek -69pt documentk≥2k\ge 2document) contiguous vertices on a shortest path can be changed at a time.

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