Part B: Problem 4: Describe specific loop invariant(s) for proving correct- ness for each of the following algorithms. You do not have to prove that the algorithms are correct: (a) def find_min(A): min =A[0] for i in range(1, len(A)): if min > A[i]: min =A[i] return min (b) def find max(A): for i in range(0, len(A)): isMax = True for j in range(0, len (A)): if A[j] A[i]: isMax = False if isMax: return A[i] (c) def even numbers (A): E = [] for i in range(0, len (A)): if A[i] % 2 0: return E E.append(A[i]) (d) def double_array(A): for i in range(0, len(A)): A[i] =A[i] ✶ 2 return A (e) def dot product (A, B): sum = 0.0 for i in range(0, min(len(A), len(B))): sum sum + A[i]*B[i] return sum
Part B: Problem 4: Describe specific loop invariant(s) for proving correct- ness for each of the following algorithms. You do not have to prove that the algorithms are correct: (a) def find_min(A): min =A[0] for i in range(1, len(A)): if min > A[i]: min =A[i] return min (b) def find max(A): for i in range(0, len(A)): isMax = True for j in range(0, len (A)): if A[j] A[i]: isMax = False if isMax: return A[i] (c) def even numbers (A): E = [] for i in range(0, len (A)): if A[i] % 2 0: return E E.append(A[i]) (d) def double_array(A): for i in range(0, len(A)): A[i] =A[i] ✶ 2 return A (e) def dot product (A, B): sum = 0.0 for i in range(0, min(len(A), len(B))): sum sum + A[i]*B[i] return sum
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