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All-Pairs Shortest Paths and the Essential Subgraph

by C. C. McGeoch , 1995
"... The essential subgraph H of a weighted graph or digraph G contains an edge (v, w) if that edge is uniquely the least-cost path between its vertices. Let s denote the number of edges of H. This paper presents an algorithm for solving all-pairs shortest paths on G that requires O(ns + n 2 log n) wor ..."
Abstract - Cited by 16 (2 self) - Add to MetaCart
The essential subgraph H of a weighted graph or digraph G contains an edge (v, w) if that edge is uniquely the least-cost path between its vertices. Let s denote the number of edges of H. This paper presents an algorithm for solving all-pairs shortest paths on G that requires O(ns + n 2 log n

On the Comparison-Addition Complexity of All-Pairs Shortest Paths

by Seth Pettie - In Proc. 13th Int'l Symp. on Algorithms and Computation (ISAAC'02 , 2002
"... We present an all-pairs shortest path algorithm for arbitrary graphs that performs O(mn log (m; n)) comparison and addition operations, where m and n are the number of edges and vertices, resp., and is Tarjan's inverse-Ackermann function. Our algorithm eliminates the sorting bottleneck inherent ..."
Abstract - Cited by 10 (6 self) - Add to MetaCart
We present an all-pairs shortest path algorithm for arbitrary graphs that performs O(mn log (m; n)) comparison and addition operations, where m and n are the number of edges and vertices, resp., and is Tarjan's inverse-Ackermann function. Our algorithm eliminates the sorting bottleneck

On the Quantum Query Complexity of All-Pairs Shortest Paths

by Fuwei Cai, Satoshi Tayu, Shuichi Ueno
"... We show lower bounds for the quantum query complex-ity of the all-pairs shortest paths problem (APSP) for non-negatively weighted directed graphs (digraphs), both in the adjacency matrix model and in an adja- ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
We show lower bounds for the quantum query complex-ity of the all-pairs shortest paths problem (APSP) for non-negatively weighted directed graphs (digraphs), both in the adjacency matrix model and in an adja-

An optimal algorithm to solve the all-pairs shortest paths on unweighted interval graphs

by R. Ravi, Madhav V. Marathe, U Rangan - Networks , 1992
"... We present an O(n2) time-optimal algorithm for solving the unweighted all-pair shortest path problem on interval graphs, an important subclass of perfect graphs. An interesting structure called the neighborhood tree is studied and used in the algorithm. This tree is formed by identifying the success ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
We present an O(n2) time-optimal algorithm for solving the unweighted all-pair shortest path problem on interval graphs, an important subclass of perfect graphs. An interesting structure called the neighborhood tree is studied and used in the algorithm. This tree is formed by identifying

FASTER ALGORITHMS FOR ALL-PAIRS APPROXIMATE SHORTEST PATHS IN UNDIRECTED GRAPHS

by Surender Baswana, Telikepalli Kavitha , 2006
"... Let G = (V, E) be a weighted undirected graph having non-negative edge weights. An estimate ˆ δ(u, v) of the actual distance δ(u, v) between u, v ∈ V is said to be of stretch t iff δ(u, v) ≤ ˆ δ(u, v) ≤ t · δ(u, v). Computing all-pairs small stretch distances efficiently (both in terms of time ..."
Abstract - Cited by 9 (2 self) - Add to MetaCart
Let G = (V, E) be a weighted undirected graph having non-negative edge weights. An estimate ˆ δ(u, v) of the actual distance δ(u, v) between u, v ∈ V is said to be of stretch t iff δ(u, v) ≤ ˆ δ(u, v) ≤ t · δ(u, v). Computing all-pairs small stretch distances efficiently (both in terms of time

External-Memory Exact and Approximate All-Pairs Shortest-Paths in Undirected Graphs

by Rezaul Alam Chowdhury, Vijaya Ramachandran , 2004
"... We present several new external-memory algorithms for finding all-pairs shortest paths in a V-node, E-edge undirected graph. For all-pairs shortest paths and diameter in unweighted undirected graphs we present cache-oblivious algorithnls with O(V. ~ log. ~ ~) I/Os, where B is the block-size and M is ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
We present several new external-memory algorithms for finding all-pairs shortest paths in a V-node, E-edge undirected graph. For all-pairs shortest paths and diameter in unweighted undirected graphs we present cache-oblivious algorithnls with O(V. ~ log. ~ ~) I/Os, where B is the block-size and M

External-Memory Exact and Approximate All-Pairs Shortest-Paths in Undirected Graphs *

by Rezaul Alam, Chowdhury Vijaya Ramachandran , 2004
"... Abstract We present several new external-memory algorithms for finding all-pairs shortest paths in a V-node, E-edge undirected graph. Our results include the following, where B is the block-size and Mis the size of internal memory. We present cache-oblivious algorithms with O( V * EB log MB EB) I/Os ..."
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/Os for all-pairs shortest paths and diameter in unweighted undirected graphs. For weighted undirected graphs we present a cache-aware APSP algorithm that performs O(V * (q V EB + EB log VB)) I/Os. We also present efficient cache-aware algorithms that find paths between all pairs of vertices in anunweighted

Dynamic Approximate All-Pairs Shortest Paths in Undirected Graphs

by unknown authors
"... Abstract We obtain three new dynamic algorithms for the approx-imate all-pairs shortest paths problem in unweighted undirected graphs: 1. For any fixed " ? 0, a decremental algorithm withan expected total running time of ~O(mn), where m is the number of edges and n is the number of ver-tice ..."
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Abstract We obtain three new dynamic algorithms for the approx-imate all-pairs shortest paths problem in unweighted undirected graphs: 1. For any fixed " ? 0, a decremental algorithm withan expected total running time of ~O(mn), where m is the number of edges and n is the number of ver

External Memory Algorithms for Diameter and All-Pairs Shortest-Paths on Sparse Graphs

by unknown authors
"... Abstract. We provide I/O-efficient algorithms for diameter and allpairs shortest-paths (APSP) on undirected graphs G(V, E). For general non-negative edge weights and E/V = o(B / log V) our approaches are the first to achieve o(V 2) I/Os. We also show that unweighted APSP can be solved with just O(V ..."
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Abstract. We provide I/O-efficient algorithms for diameter and allpairs shortest-paths (APSP) on undirected graphs G(V, E). For general non-negative edge weights and E/V = o(B / log V) our approaches are the first to achieve o(V 2) I/Os. We also show that unweighted APSP can be solved with just O

Fast algorithms for Maximum Subset Matching and All-Pairs Shortest Paths in graphs with a (not so) small vertex cover

by Noga Alon, Raphael Yuster
"... ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
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