Improved bounds for rectangular monotone Min-Plus Product and applications
Anita Dürr · Information Processing Letters · 2023
In a recent breakthrough paper, Chi et al. (STOC'22) introduce an O˜(n3+ω2) time algorithm to compute Monotone Min-Plus Product between two square matrices of dimensions n×n and polynomial bounded values. This greatly improves upon the previous O˜(n12+ω5) time algorithm and as a consequence improves bounds for its applications. Several other applications involve Monotone Min-Plus Product between rectangular matrices, and even if Chi et al.'s algorithm seems applicable for the rectangular case, the generalization is not straightforward. In this paper we present a generalization of the algorithm of Chi et al. to solve Monotone Min-Plus Product for rectangular matrices with polynomial bounded values. We next use this faster algorithm to improve running times for the following applications of Rectangular Monotone Min-Plus Product: M-bounded Single Source Replacement Path, Batch Range Mode, k-Dyck Edit Distance and 2-approximation of All Pairs Shortest Path. We also improve the running time for Unweighted Tree Edit Distance using the algorithm by Chi et al..