Big O notation describes ________.
A) the amount of memory required by an algorithm.
B) the difficulty of writing an algorithm to solve a specific problem.
C) an algorithm's efficiency in terms of the work required to solve a problem.
D) the length of an algorithm for solving a specific problem.
Correct Answer:
Verified
Q2: How many comparisons will the linear search
Q3: How much faster is insertion sort with
Q3: Which of the following is not a
Q4: The linear search algorithm runs in _time.
A)quadratic
B)O(n)
C)constant
D)nonlinear
Q6: What is the term used for binary
Q7: What does the first pass of selection
Q8: An O(n)algorithm is referred to as having
Q9: What is the efficiency of linear search?
A)O(1).
B)O(log
Q11: Using a binary search, what is the
Q11: A searching algorithm that's O(1)_.
A)requires one comparison
B)does
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