Improved algorithms for the k simple shortest paths and the replacement paths problems

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Given a directed, non-negatively weighted graph G = ( V , E ) and s , t ∈ V , we consider two problems. In the k simple shortest paths problem, we want to find the k simple paths from s to t with the k smallest weights. In the replacement paths problem, we want the shortest path from s to t that avoids e, for every edge e in the original shortest path from s to t. The best known algorithm for the k simple shortest paths problem has a running of O ( k ( m n + n 2 log n ) ) . For the replacement paths problem the best known result is the trivial one running in time O ( m n + n 2 log n ) . In this paper we present two simple algorithms for the replacement paths problem and the k simple shortest paths problem in weighted directed graphs (using a solution of the All Pairs Shortest Paths problem). The running time of our algorithm for the replacement paths problem is O ( m n + n 2 log log n ) . For the k simple shortest paths we will perform O ( k ) iterations of the second simple shortest path (each in O ( m n + n 2 log log n ) running time) using a useful property of Roditty and Zwick [L. Roditty, U. Zwick, Replacement paths and k simple shortest paths in unweighted directed graphs, in: Proc. of International Conference on Automata, Languages and Programming (ICALP), 2005, pp. 249–260]. These running times immediately improve the best known results for both problems over sparse graphs. Moreover, we prove that both the replacement paths and the k simple shortest paths (for constant k) problems are not harder than APSP (All Pairs Shortest Paths) in weighted directed graphs.