Kruskal's Algorithm: Difference between revisions

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OPT(n) = OPT(n-1) + min( (v_i, v_n) \in E )
OPT(n) = OPT(n-1) + min( (v_i, v_n) \in E )
</math>
</math>
= Implementation =
<pre>
Kruskal(G):
    let A be an empty graph
    for each v in V:
        makeSet(v)
    sort E in nondecreasing order by weight
    for each (u,v) in E:
        if findSet(u) != findSet(v):
            A = A U {(u,v)}
            Union(u,v)
    return A
</pre>


= Analysis =
= Analysis =

Revision as of 18:05, 20 March 2024

Approach: Greedy

The approach is to try to add the smallest edges as long as they do not create a cycle. Unlike Prim's algorithm, which prevents cycles by only choosing edges that crosses a cut of nodes already in the tree and nodes that aren't, Kruskal prevents cycles using a data structure known as disjoint set (aka. union-find).

Given the MST of , the MST of should be that of plus the edge that connects to that is the shortest.

Implementation

Kruskal(G):
    let A be an empty graph
    for each v in V:
        makeSet(v)
    sort E in nondecreasing order by weight

    for each (u,v) in E:
        if findSet(u) != findSet(v):
            A = A U {(u,v)}
            Union(u,v)
    return A

Analysis

Sort edges + E (cycle?) + (V - 1) adding edge

Sorting takes E log E

For weighted disjoint set, checking cycle takes log V, and adding edge takes log V

For fast-find, where all members have the same ID, fast-set-id needs O(1) and union needs O(n)