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Algorithm for determining strongly connected components of a Graph:
Strongly Connected Components (G)
where d[u] = discovery time of the vertex u throughout DFS , f[u] = finishing time of a vertex u throughout DFS, GT = Transpose of the adjacency matrix
Step 1: Use DFS(G) to calculate f[u] ∀u∈V
Step 2: calculate GT
Step 3: Execute DFS in GT
Step 4: Output the vertices of each of tree within the depth-first forest of Step 3 as a separate strongly connected component.
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Objectives The purpose of this project is to give you significant exposure to Binary Search Trees (BST), tree traversals, and recursive code. Background An arbitrary BST i
one to many one to one many to many many to one
1) Why space complexity is comparatively more critical than time complexity? 2) Determine the space complexity of Euclid Algorithm?
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