Abstract
The authors have solved the all pairs shortest distances (APSD) problem for graphs with integer edge lengths. Our algorithm is subcubic for edge lengths of small ( ≤ M) absolute value. In this paper we show how to transform these algorithms to solve the all pairs shortest paths (APSP), in the same time complexity, up to a polylogarithmic factor. For n = |V| the number of vertices, M the bound on edge length, and w the exponent of matrix multiplication, we get the following results: 1. A directed nonnegative APSP(n, M) algorithm which runs in Õ(T(n, M)) time, where (Formula Presented) 2. An undirected APSP(n, M) algorithm which runs in Õ(M(ω + 1)/2nω log(Mn)) time. 3. A general APSP(n, M) algorithm which runs in Õ((Mn)(3 + Iω)/2). ] 1997 Academic Press.
| Original language | English |
|---|---|
| Pages (from-to) | 243-254 |
| Number of pages | 12 |
| Journal | Journal of Computer and System Sciences |
| Volume | 54 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Jan 1997 |
| Externally published | Yes |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Computer Networks and Communications
- Computational Theory and Mathematics
- Applied Mathematics