Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Impara Prim's MST | Greedy on Graphs
Greedy Algorithms using Python

Scorri per mostrare il menu

book
Prim's MST

This algorithm is another one approach to find the MST - minimum spanning tree. The main idea is to partition a set of vertices into two: included to MST already and excluded. Step by step you’ll replace vertices from the second set to the first by picking the less weighted edge that connects both sets.

So algorithm is next:

  1. Put the start vertex to the visited, the rest will be unvisited, i. e. in the second set.

  2. Start adding vertices. Visit all neighbors for all visited vertices and select the edge with least weight, that does not create a cycle. Mark the adjacent vertex as visited.

  3. Do the 2) until all vertices are visited.

You can find a lot of different implementations, but the main idea is to put all vertices into the visited set step by step.

Compito

Swipe to start coding

Complete the primMST() algorithm inside Graph class. Init the graph and call this method. To detect a cycle, use BFS() or DFS() algorithms. You can implement it inside the class.

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 4
single

single

Chieda ad AI

expand

Chieda ad AI

ChatGPT

Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione

close

Awesome!

Completion rate improved to 7.69

book
Prim's MST

This algorithm is another one approach to find the MST - minimum spanning tree. The main idea is to partition a set of vertices into two: included to MST already and excluded. Step by step you’ll replace vertices from the second set to the first by picking the less weighted edge that connects both sets.

So algorithm is next:

  1. Put the start vertex to the visited, the rest will be unvisited, i. e. in the second set.

  2. Start adding vertices. Visit all neighbors for all visited vertices and select the edge with least weight, that does not create a cycle. Mark the adjacent vertex as visited.

  3. Do the 2) until all vertices are visited.

You can find a lot of different implementations, but the main idea is to put all vertices into the visited set step by step.

Compito

Swipe to start coding

Complete the primMST() algorithm inside Graph class. Init the graph and call this method. To detect a cycle, use BFS() or DFS() algorithms. You can implement it inside the class.

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!

close

Awesome!

Completion rate improved to 7.69

Scorri per mostrare il menu

some-alt