Kruskal's algorithm is commonly used in graph theory when we need to find the minimum spanning tree (MST) of a connected, undirected graph. Here are the steps:

1. Sort all the edges from low weight to high
2. Start adding edges to the MST from the lowest weight edge, ensuring that no cycle is formed while adding the edge. If adding the edge creates a cycle, then reject this edge.
3. Keep adding edges until all vertices are included in the MST.

The algorithm is named after Joseph Kruskal, who first described it in 1956. It is a greedy algorithm, meaning it makes the optimal choice at each step as it attempts to find the overall optimal way to solve the entire problem. This is why it always chooses the smallest edge to add next to the MST.

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Kruskal's algorithm is commonly used in graph theory when we need to find the minimum spanning tree (MST) of a connected, undirected graph. Here are the steps:

1. Sort all the edges from low weight to high
2. Start adding edges to the MST from the lowest weight edge, ensuring that no cycle is formed while adding the edge. If adding the edge creates a cycle, then reject this edge.
3. Keep adding edges until all vertices are included in the MST.

The algorithm is named after Joseph Kruskal, who first described it in 1956. It is a greedy algorithm, meaning it makes the optimal choice at each step as it attempts to find the overall optimal way to solve the entire problem. This is why it always chooses the smallest edge to add next to the MST.

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Kruskal's algorithm is commonly used in graph theory when we need to find the minimum spanning tree (MST) of a connected, undirected graph. Here are the steps:

1. Sort all the edges from low weight to high
2. Start adding edges to the MST from the lowest weight edge, ensuring that no cycle is formed while adding the edge. If adding the edge creates a cycle, then reject this edge.
3. Keep adding edges until all vertices are included in the MST.

The algorithm is named after Joseph Kruskal, who first described it in 1956. It is a greedy algorithm, meaning it makes the optimal choice at each step as it attempts to find the overall optimal way to solve the entire problem. This is why it always chooses the smallest edge to add next to the MST.

When is Kruskal's algorithm commonly used in graph theory?

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