Implementation level

Difference between revisions of "BFS, Python, NetworkX"

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Primary author of this description: [[:ru:Участник:Elijah|I.V.Afanasyev]].
 
Primary author of this description: [[:ru:Участник:Elijah|I.V.Afanasyev]].
  
== Software implementation of the algorithm: Python, NetworkX ==
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= Links =
 
 
 
The <code>[http://networkx.github.io/documentation/networkx-1.9.1/reference/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.html bfs_edges]</code>).
 
The <code>[http://networkx.github.io/documentation/networkx-1.9.1/reference/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.html bfs_edges]</code>).
  
=== Locality of data and computations ===
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= Locality of data and computations =
==== Locality of implementation ====
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== Locality of implementation ==
===== Structure of memory access and a qualitative estimation of locality =====
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=== Structure of memory access and a qualitative estimation of locality ===
===== Quantitative estimation of locality =====
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=== Quantitative estimation of locality ===
  
=== Scalability of the algorithm and its implementations ===
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= Scalability of the algorithm and its implementations =
==== Scalability of the algorithm ====
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== Scalability of the algorithm ==
==== Scalability of of the algorithm implementation ====  
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== Scalability of of the algorithm implementation ==
  
=== Dynamic characteristics and efficiency of the algorithm implementation ===
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= Dynamic characteristics and efficiency of the algorithm implementation =
=== Run results ===
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= Run results =
  
 
[[Category:Articles in progress]]
 
[[Category:Articles in progress]]
  
[[Ru:Python, NetworkX]]
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[[Ru:BFS, Python, NetworkX]]

Latest revision as of 10:57, 2 July 2022


Primary author of this description: I.V.Afanasyev.

1 Links

The bfs_edges).

2 Locality of data and computations

2.1 Locality of implementation

2.1.1 Structure of memory access and a qualitative estimation of locality

2.1.2 Quantitative estimation of locality

3 Scalability of the algorithm and its implementations

3.1 Scalability of the algorithm

3.2 Scalability of of the algorithm implementation

4 Dynamic characteristics and efficiency of the algorithm implementation

5 Run results