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What is the difference between Kruskal's and Prim's MST algorithms?

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01

Understand the problem

Compare the two MST algorithms.

graphsmst
02

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03

Study the solution

Both build a minimum spanning tree. Kruskal's sorts edges and adds the cheapest that doesn't form a cycle (using Union-Find) — great for sparse graphs, O(E log E). Prim's grows a tree from one node, always adding the cheapest boundary edge via a heap — O(E log V), better for dense graphs.

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04

Read the code

Kruskal's MST (Union-Find)
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def kruskal_mst(n, edges):
    parent = list(range(n))
    def find(x):
        while parent[x] != x:
            parent[x] = parent[parent[x]]
            x = parent[x]
        return x
    total, used = 0, 0
    for w, u, v in sorted(edges):           # cheapest edge first
        ru, rv = find(u), find(v)
        if ru != rv:                        # skip if it would form a cycle
            parent[ru] = rv
            total += w
            used += 1
    return total if used == n - 1 else -1   # -1 = graph not connected


# --- demo ---  edges (w, u, v)
edges = [(10, 0, 1), (6, 0, 2), (5, 0, 3), (15, 1, 3), (4, 2, 3)]
print(kruskal_mst(4, edges))   # 19  (edges 4 + 5 + 10)
05

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