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All-Pairs Shortest Path (APSP)
Overview
All-Pairs Shortest Path (APSP)
algorithms
graph theory
shortest path
dynamic programming
complexity analysis
data structures
python
java
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Floyd-Warshall Algorithm →
Floyd–Warshall is a dynamic-programming algorithm that implements the APSP task by computing the full pairwise shortest-path distance (and optionally predecessor) matrix, handling negative edges and detecting negative cycles, especially suitable for dense graphs.
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Dijkstra Algorithm →
APSP defines the multi-source shortest-path objective and constraints; it specifies contexts (e.g., nonnegative edges, sparse graphs) where Dijkstra serves as the single-source subroutine within APSP solutions like repeated Dijkstra and Johnson’s algorithm, thereby enabling its correct application.
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Johnson Algorithm →
Johnson's algorithm is a specific method for solving APSP on sparse graphs with some negative edges; it relies on the APSP problem definition and expected outputs (all-pairs distance/predecessor matrices) to structure its reweighting plus repeated Dijkstra approach.
Single-Source Shortest Path →
Single-Pair Shortest Path →