# Finding k Simple Shortest Paths and Cycles

arXiv: https://arxiv.org/abs/1512.02157 · HTML: https://mlsanity.com/paper/1512.02157/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Dec 2015.

## Built on by (most cited first, 1 of 1)

- [On Computing Top-k Simple Shortest Paths from a Single Source](https://mlsanity.com/paper/2509.26094/) (2025)

## Abstract (arXiv)

The problem of finding multiple simple shortest paths in a weighted directed graph G=(V,E) has many applications, and is considerably more difficult than the corresponding problem when cycles are allowed in the paths. Even for a single source-sink pair, it is known that two simple shortest paths cannot be found in time polynomially smaller than n3 (where n=|V|) unless the All-Pairs Shortest Paths problem can be solved in a similar time bound. The latter is a well-known open problem in algorithm design. We consider the all-pairs version of the problem, and we give a new algorithm to find k simple shortest paths for all pairs of vertices. For k=2, our algorithm runs in O(mn + n2 log n) time (where m=|E|), which is almost the same bound as for the single pair case, and for k=3 we improve earlier bounds. Our approach is based on forming suitable path extensions to find simple shortest paths; this method is different from the `detour finding' technique used in most of the prior work on simple shortest paths, replacement paths, and distance sensitivity oracles. Enumerating simple cycles is a well-studied classical problem. We present new algorithms for generating simple cycles and simple paths in G in non-decreasing order of their weights; the algorithm for generating simple paths is much faster, and uses another variant of path extensions. We also give hardness results for sparse graphs, relative to the complexity of computing a minimum weight cycle in a graph, for several variants of problems related to finding k simple paths and cycles.