Prims Algorithm

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

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

Suboptimality

Given MST tree for the graph G

$OPT={\text{set of edges}}$

where the number of edges is $n-1$, the weight of edges is minimum, and the tree is spanning.

Consider $(x,y)$, where X is a leaf node.

Prove that $A=OPT-(x,y)$ is a MST for the subproblem $G-X$

By contradiction, assume that $A$ is not optimal. There must be $B$ such that

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle w(B) < w(A) }

Adding the edge (x, y) back to both graphs

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle B + (x, y)} is a viable tree.

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle w(B + w(x,y)) < w(A + w(x,y)) = w(OPT) }

Therefore, OPT is not the optimal solution.

By contradiction, Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle A} must be optimal.