find the time efficiency using 5 steps plan: Graph Complete(A[0..n-1,0..n-1]) Input:Adjacency matrix (A[0..n-1,0..n-1]) output: 1(true) if n=1 return 1 else if not Graphcomplete (A[0..n-2,0..n-2]) return 0 else for j <--- 0 to n-2 do if A[n-1,j] =0 return 0 return 1

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Polynomial Time

The problems for which the deterministic polynomial-time algorithm exists belong to the complexity class (p) and it is central in the field of computational complexity theory. According to Cobham’s thesis, polynomial time is a synonym for “feasible”, “fast”, and “efficient”.