Nonnegative Weights: Difference between revisions

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== Parameters ==  
== Parameters ==  


V: number of vertices
$V$: number of vertices


E: number of edges
$E$: number of edges


L: maximum absolute value of edge cost
$L$: maximum absolute value of edge cost


== Table of Algorithms ==  
== Table of Algorithms ==  
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| [[Bellman–Ford algorithm (Dantzig 1960) (Nonnegative Weights Shortest Path (Directed Graphs))|Bellman–Ford algorithm (Dantzig )]] || 1960 || $O( V² logV)$ || $O(E)$ (total) || Exact || Deterministic || [https://www.jstor.org/stable/pdf/2627005.pdf Time]
| [[Bellman–Ford algorithm (Dantzig 1960) (Nonnegative Weights Shortest Path (Directed Graphs))|Bellman–Ford algorithm (Dantzig )]] || 1960 || $O(V^{2} \log V)$ || $O(E)$ (total) || Exact || Deterministic || [https://www.jstor.org/stable/pdf/2627005.pdf Time]
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| [[Dijkstra's algorithm with list (Whiting & Hillier 1960) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with list (Whiting & Hillier )]] || 1960 || $O( )$ || $O(V)$ auxiliary || Exact || Deterministic || [https://www.jstor.org/stable/3007178?seq=1#page_scan_tab_contents Time]
| [[Dijkstra's algorithm with list (Whiting & Hillier 1960) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with list (Whiting & Hillier )]] || 1960 || $O(V^{2})$ || $O(V)$ || Exact || Deterministic || [https://www.jstor.org/stable/3007178?seq=1#page_scan_tab_contents Time]
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| [[Dijkstra's algorithm with binary heap (Johnson 1977) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with binary heap (Johnson )]] || 1977 || $O((E + V) log V)$ || $O(V)$ auxiliary || Exact || Deterministic || [https://dl.acm.org/citation.cfm?id=321993 Time]
| [[Dijkstra's algorithm with binary heap (Johnson 1977) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with binary heap (Johnson )]] || 1977 || $O((E + V) \log V)$ || $O(V)$ || Exact || Deterministic || [https://dl.acm.org/citation.cfm?id=321993 Time]
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| [[Dijkstra's algorithm with Fibonacci heap (Fredman & Tarjan 1984; Fredman & Tarjan 1987) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with Fibonacci heap (Fredman & Tarjan ; Fredman & Tarjan 1987)]] || 1984 || $O(E + V log V)$ || $O(V)$ auxiliary || Exact || Deterministic || [https://www.cs.princeton.edu/courses/archive/fall03/cs528/handouts/fibonacci%20heaps.pdf Time]
| [[Dijkstra's algorithm with Fibonacci heap (Fredman & Tarjan 1984; Fredman & Tarjan 1987) (Nonnegative Weights Shortest Path (Directed Graphs))|Dijkstra's algorithm with Fibonacci heap (Fredman & Tarjan ; Fredman & Tarjan 1987)]] || 1984 || $O(E + V \log V)$ || $O(V)$ || Exact || Deterministic || [https://www.cs.princeton.edu/courses/archive/fall03/cs528/handouts/fibonacci%20heaps.pdf Time]
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| [[Gabow's algorithm (Nonnegative Weights Shortest Path (Directed Graphs))|Gabow's algorithm]] || 1983 || $O(E logL/log({2}+(E/V)))$ || $O(V+E)$? || Exact || Deterministic || [https://ieeexplore.ieee.org/document/4568085 Time]
| [[Gabow's algorithm (Nonnegative Weights Shortest Path (Directed Graphs))|Gabow's algorithm]] || 1983 || $O(E \log L/\log({2}+(E/V)))$ || $O(V+E)$? || Exact || Deterministic || [https://ieeexplore.ieee.org/document/4568085 Time]
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Revision as of 07:52, 10 April 2023

Description

The shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. Here, the weights are restricted to be nonnegative.

Related Problems

Generalizations: general weights

Subproblem: Nonnegative Integer Weights

Related: General Weights, Second Shortest Simple Path, st-Shortest Path, 1-sensitive (3/2)-approximate ss-shortest paths, 2-sensitive (7/5)-approximate st-shortest paths, 1-sensitive decremental st-shortest paths, 2-sensitive decremental st-shortest paths, Replacement Paths Problem

Parameters

$V$: number of vertices

$E$: number of edges

$L$: maximum absolute value of edge cost

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Bellman–Ford algorithm (Dantzig ) 1960 $O(V^{2} \log V)$ $O(E)$ (total) Exact Deterministic Time
Dijkstra's algorithm with list (Whiting & Hillier ) 1960 $O(V^{2})$ $O(V)$ Exact Deterministic Time
Dijkstra's algorithm with binary heap (Johnson ) 1977 $O((E + V) \log V)$ $O(V)$ Exact Deterministic Time
Dijkstra's algorithm with Fibonacci heap (Fredman & Tarjan ; Fredman & Tarjan 1987) 1984 $O(E + V \log V)$ $O(V)$ Exact Deterministic Time
Gabow's algorithm 1983 $O(E \log L/\log({2}+(E/V)))$ $O(V+E)$? Exact Deterministic Time

Time Complexity Graph

Shortest Path (Directed Graphs) - Nonnegative Weights - Time.png

Space Complexity Graph

Shortest Path (Directed Graphs) - Nonnegative Weights - Space.png

Time-Space Tradeoff

Shortest Path (Directed Graphs) - Nonnegative Weights - Pareto Frontier.png

References/Citation

https://www.cs.princeton.edu/courses/archive/fall03/cs528/handouts/fibonacci%20heaps.pdf