A* search algorithm and Graph traversal

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between A* search algorithm and Graph traversal

A* search algorithm vs. Graph traversal

In computer science, A* (pronounced as "A star") is a computer algorithm that is widely used in pathfinding and graph traversal, which is the process of plotting an efficiently directed path between multiple points, called "nodes". In computer science, graph traversal (also known as graph search) refers to the process of visiting (checking and/or updating) each vertex in a graph.

Similarities between A* search algorithm and Graph traversal

A* search algorithm and Graph traversal have 3 things in common (in Unionpedia): Breadth-first search, Computer science, Depth-first search.

Breadth-first search

Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures.

A* search algorithm and Breadth-first search · Breadth-first search and Graph traversal · See more »

Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

A* search algorithm and Computer science · Computer science and Graph traversal · See more »

Depth-first search

Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures.

A* search algorithm and Depth-first search · Depth-first search and Graph traversal · See more »

The list above answers the following questions

What A* search algorithm and Graph traversal have in common
What are the similarities between A* search algorithm and Graph traversal

A* search algorithm and Graph traversal Comparison

A* search algorithm has 62 relations, while Graph traversal has 24. As they have in common 3, the Jaccard index is 3.49% = 3 / (62 + 24).

References

This article shows the relationship between A* search algorithm and Graph traversal. To access each article from which the information was extracted, please visit:

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