Page rank

[ArpitaHanjagi]

Algorithm: PageRank

Purpose: Measures the importance of vertices (pages) in a directed graph based on incoming links.

Theory: Pages linked by important pages receive higher rank. Iterative computation with damping factor models random surfing behavior.

Time Complexity: O(V^2) for dense graphs (or O(E) for sparse graphs with adjacency lists)

Space Complexity: O(V)

Input: Directed graph as an adjacency list, damping factor, max iterations, tolerance

Output: PageRank scores for each vertex

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