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Impara Kruskal’s MST | Greedy on Graphs
Greedy Algorithms using Python
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Contenuti del Corso

Greedy Algorithms using Python

Greedy Algorithms using Python

1. Greedy Algorithms: Overview and Examples
2. Greedy on Arrays
3. Greedy on Graphs

book
Kruskal’s MST

Let’s start with defining what we are searching for – the Minimum Spanning Tree.

MST is a tree built on vertices of a given graph, so the total weight of all edges is minimum among all possible vertices. This graph is a subgraph of the given, and it contains V-1 edges, where V is a number of vertices.

One of the approaches to build MST is using Kruskal’s MST Algorithm:

  1. Sort all edges by weight in ascending order

  2. Label each vertex by the number of subtree it belongs to. In the beginning, each vertex is a separate single-element subtree. 3) Pick the first edge. Edge's vertices belong to different subtrees, so you can join them into one subtree. To do that, make their labels the same.

  3. Pick the next 'smallest' edge. Check if the edge's vertices belong to different subtrees. If yes, change labels to join all vertices into one.

  4. Repeat 3 until all vertices belong to one subtree. This tree is the answer.

Compito

Swipe to start coding

Follow the comments in code to complete the algorithm.

Soluzione

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Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 3
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book
Kruskal’s MST

Let’s start with defining what we are searching for – the Minimum Spanning Tree.

MST is a tree built on vertices of a given graph, so the total weight of all edges is minimum among all possible vertices. This graph is a subgraph of the given, and it contains V-1 edges, where V is a number of vertices.

One of the approaches to build MST is using Kruskal’s MST Algorithm:

  1. Sort all edges by weight in ascending order

  2. Label each vertex by the number of subtree it belongs to. In the beginning, each vertex is a separate single-element subtree. 3) Pick the first edge. Edge's vertices belong to different subtrees, so you can join them into one subtree. To do that, make their labels the same.

  3. Pick the next 'smallest' edge. Check if the edge's vertices belong to different subtrees. If yes, change labels to join all vertices into one.

  4. Repeat 3 until all vertices belong to one subtree. This tree is the answer.

Compito

Swipe to start coding

Follow the comments in code to complete the algorithm.

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 3
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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