Chapter 16: Problem 11
One algorithm needs 100n basic operations to process an input of size n, and another algorithm needs 25n basic operations to process the same input. Which of the two algorithms is more efficient?
Chapter 16: Problem 11
One algorithm needs 100n basic operations to process an input of size n, and another algorithm needs 25n basic operations to process the same input. Which of the two algorithms is more efficient?
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Get started for freeWith an array of 20,000 elements, what is the maximum number of comparisons the binary search will perform?
What does it mean to say that \(f(n)\) is in \(\mathrm{O}(g(n)) ?\)
Let \(a[]\) and \(b[]\) be two integer arrays of size \(n\). Following the examples of this section, give a formal description of the problem of determining if every element of \(a[]\) is also an element of \(b[] .\) The output of the algorithm should be one of the words "true" or "false."
Describe the difference between the sequential search and the binary search.
On average, with an array of 20,000 elements, how many comparisons will the sequential search perform? (Assume the items being searched have equal probability of being found at any of the positions in the array.)
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