[Problem 8] Let F denote an algorithm with two input arguments A and B. Argument A represents an unsorted 2-dimensional integer array with n elements (for example, A = [[5,2],[8,1],[3,6], ...]), and B represents a sorted, standard, 1-dimensional integer array with m elements. F(A, B) k = 0 n = len (A) for i from 1 to n x = A[i] [0] +A[i] [1] if x is not contained in B k = k+x return k What is the fastest running time for this algorithm, and give its upper bound (i.e O()). That is, give the upper bound for the running time of this algorithm for the most efficient implementation of this algorithm and properly justify your answer. Hint: Not all implementations lead to the fastest running time.
[Problem 8] Let F denote an algorithm with two input arguments A and B. Argument A represents an unsorted 2-dimensional integer array with n elements (for example, A = [[5,2],[8,1],[3,6], ...]), and B represents a sorted, standard, 1-dimensional integer array with m elements. F(A, B) k = 0 n = len (A) for i from 1 to n x = A[i] [0] +A[i] [1] if x is not contained in B k = k+x return k What is the fastest running time for this algorithm, and give its upper bound (i.e O()). That is, give the upper bound for the running time of this algorithm for the most efficient implementation of this algorithm and properly justify your answer. Hint: Not all implementations lead to the fastest running time.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![[Problem 8] Let F denote an algorithm with two input arguments A and B. Argument A represents
an unsorted 2-dimensional integer array with n elements (for example, A = [[5,2],[8,1],[3,6], ...]), and B
represents a sorted, standard, 1-dimensional integer array with m elements.
F(A, B)
k = 0
n = len (A)
for i from 1 to n
x = A[i] [0] +A[i] [1]
if x is not contained in B
k = k+x
return k
What is the fastest running time for this algorithm, and give its upper bound (i.e O()). That is, give
the upper bound for the running time of this algorithm for the most efficient implementation of this
algorithm and properly justify your answer. Hint: Not all implementations lead to the fastest running
time.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F672bf286-8abe-4b07-9ca1-0d5b2612956c%2Ff6d81cae-78ee-4a59-ad28-e1ac43c203a6%2F1j87v7o_processed.png&w=3840&q=75)
Transcribed Image Text:[Problem 8] Let F denote an algorithm with two input arguments A and B. Argument A represents
an unsorted 2-dimensional integer array with n elements (for example, A = [[5,2],[8,1],[3,6], ...]), and B
represents a sorted, standard, 1-dimensional integer array with m elements.
F(A, B)
k = 0
n = len (A)
for i from 1 to n
x = A[i] [0] +A[i] [1]
if x is not contained in B
k = k+x
return k
What is the fastest running time for this algorithm, and give its upper bound (i.e O()). That is, give
the upper bound for the running time of this algorithm for the most efficient implementation of this
algorithm and properly justify your answer. Hint: Not all implementations lead to the fastest running
time.
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