An Unfair Algorithm Finding the MWM of a graph is as easy as selecting edges from a list in order, including the edge in matching, and removing all neighbouring edges from the list. This is done by sorting edges according to their weights in a non-increasing sequence. 1. Input: A weighted graph G = (V, E, w) 2. Output: A maximal weighted matching M of G 3. M ← Ø 4. sort E and store the list in Q 5. while Q = Ø 6. remove first element e from Q 7. M ← M ∪ e 8. Q ← Q\ { all adjacent edges to e }Let's attempt to use the preceding methods to create this algorithm in Python.
An Unfair Algorithm Finding the MWM of a graph is as easy as selecting edges from a list in order, including the edge in matching, and removing all neighbouring edges from the list. This is done by sorting edges according to their weights in a non-increasing sequence. 1. Input: A weighted graph G = (V, E, w) 2. Output: A maximal weighted matching M of G 3. M ← Ø 4. sort E and store the list in Q 5. while Q = Ø 6. remove first element e from Q 7. M ← M ∪ e 8. Q ← Q\ { all adjacent edges to e }Let's attempt to use the preceding methods to create this algorithm in Python.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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An Unfair
Finding the MWM of a graph is as easy as selecting edges from a list in order, including the edge in matching, and removing all neighbouring edges from the list. This is done by sorting edges according to their weights in a non-increasing sequence.
1. Input: A weighted graph G = (V, E, w)
2. Output: A maximal weighted matching M of G
3. M ← Ø
4. sort E and store the list in Q
5. while Q = Ø
6. remove first element e from Q
7. M ← M ∪ e
8. Q ← Q\ { all adjacent edges to e }Let's attempt to use the preceding methods to create this algorithm in Python.
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