Chapter 3: Q31E (page 231)
Analyze the worst-case time complexity of the algorithm you devised in Exercise 33 of Section 3.1 for finding the first term of a sequence less than the immediately preceding term.
Short Answer
O(n)
Chapter 3: Q31E (page 231)
Analyze the worst-case time complexity of the algorithm you devised in Exercise 33 of Section 3.1 for finding the first term of a sequence less than the immediately preceding term.
O(n)
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Get started for freea) Give an algorithm to determine whether a bit string contains a pair of consecutive zeros.
b) How many comparisons does the algorithm use?
Describe an algorithm that locates the last occurrence of the smallest element in a finite list of integers, where the integers in the list are not necessarily distinct.
Determine which characteristics of an algorithm described in the text(after algorithm 1) the following procedures have and which they lack.
a)
b)role="math" localid="1668412435330"
c)
d)role="math" localid="1668412892026"
a) Describe in detail (and in English) the steps of an algorithm that finds the maximum and minimum of a sequence of elements by examining pairs of successive elements, keeping track of a temporary maximum and a temporary minimum. Ifn is odd, both the temporary maximum and temporary minimum should initially equal the first term, and ifn is even, the temporary minimum and temporary maximum should be found by comparing the initial two elements. The temporary maximum and temporary minimum should be updated by comparing them with the maximum and minimum of the pair of elements being examined.
b) Express the algorithm described in part (a) in pseudocode.
c) How many comparisons of elements of the sequence are carried out by this algorithm? (Do not count comparisons used to determine whether the end of the sequence has been reached.) How does this compare to the number of comparisons used by the algorithm in Exercise 5?
Specify the steps of an algorithm that locates an element in a list of increasing integers by successively splitting the list into four sublists of equal (or as close to equal as possible) size, and restricting the search to the appropriate piece. In a list of elements, the same element may appear several times. A mode of such a list is an element that occurs at least as often as each of the other elements; a list has more than one mode when more than one element appears the maximum number of times.
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