Difference between revisions of "TADM2E 5.12"

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<pre>Algorithm:
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BFS of each vertex v ∈ V, O(|V| * (|V| + |E|))
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Saving adjacent vertexes to an adjacency matrix or adjacency list O(1)
  
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Extensions:
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BFS stops at a depth of 2
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- Depth 1-adjacent v in the original graph
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- Depth 2-adjacent v in the graph square
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BFS uses the vertex statuses unopened, open, and processed
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- Open and processed vertexes are not added to the queue again
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Time complexity of the algorithm O (|V| * (|V| + |E|)) = O((|V|)^2 + |V * E|)) = O(|V * E|)
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- The number of edges does not grow slower than the number of vertexes
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- In a graph of 1 vertex, when adding 1 vertex, 1+ edge is added
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- In a complete graph of n vertices, the number of edges is determined by the Handshaking lemma
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- - For a complete directed graph |E| = n * (n - 1) edges
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- - For a complete not directed graph |E| = n * (n - 1) / 2 edges</pre>
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--[[User:Bkarpov96|Bkarpov96]] ([[User talk:Bkarpov96|talk]]) 07:48, 30 June 2020 (UTC)

Revision as of 11:21, 22 July 2020

Algorithm:
BFS of each vertex v ∈ V, O(|V| * (|V| + |E|))
Saving adjacent vertexes to an adjacency matrix or adjacency list O(1)

Extensions:
BFS stops at a depth of 2
- Depth 1-adjacent v in the original graph
- Depth 2-adjacent v in the graph square
BFS uses the vertex statuses unopened, open, and processed
- Open and processed vertexes are not added to the queue again

Time complexity of the algorithm O (|V| * (|V| + |E|)) = O((|V|)^2 + |V * E|)) = O(|V * E|)
- The number of edges does not grow slower than the number of vertexes
- In a graph of 1 vertex, when adding 1 vertex, 1+ edge is added
- In a complete graph of n vertices, the number of edges is determined by the Handshaking lemma
- - For a complete directed graph |E| = n * (n - 1) edges
- - For a complete not directed graph |E| = n * (n - 1) / 2 edges

--Bkarpov96 (talk) 07:48, 30 June 2020 (UTC)