Prims Algorithm

Prims Algorithm
Runtime	V*Extract_min + V + E + E update Heap: O(E log V) Array: O(V^2)
Class	Minimum_Spanning_Tree Graph Algorithm Greedy Algorithm

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Prims Algorithm

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Approach: Greedy

See Minimum_Spanning_Tree

Implementation

for each u in V:
    key[u] = infinity   // cost array
    pi[u] = infinity    // from array
Q = new PriorityQueue(V)
key[root] = 0
while Q is not empty:
    u = extractMin(Q)
    # Reduce nodes
    for v in adj[u]:
        if v in Q and w[u,v] < key[v]:
            key[v] = w[u,v]

Analysis

Priority queue is slower than array when the graph is dense, so sometimes it's better to use Dijsktra's algorithm.

Proof: Greedy

Greeedy strategy: Let the greedy choice be the edge that is smallest that crosses the cut between $A$ and $V-A$.

Name greedy choice: let $r\rightarrow x$ be the smallest edge that crosses the cut from $A=r$ and $V-r$.

Given an optimal solution with (r,y), prove that $A=OPT-(r,y)+(r,x)$ is still optimal.

$A$ is still a tree since there is no cycles created.

$w(r,y)\geq w(r,x)$ due to its properties as the greedy choice.

Therefore, $A$ must be optimal.