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Find the least integer\(n\)such that\(f(x)\)is\(O({x^n})\)for each of these functions.

a)\(\;f(x) = 2{x^3} + {x^2}\log x\)

b)\(f(x) = 3{x^3} + {(\log x)^4}\)

c)\(f(x) = ({x^4} + {x^2} + 1)/({x^3} + 1)\)

d) \(f(x) = ({x^4} + 5\log x)/({x^4} + 1)\)

Short Answer

Expert verified

a)\(n = 3\)

b)\(n = 3\)

c)\(n = 1\)

d) \(n = 0\)

Step by step solution

01

Subpart (a): \(\;f(x) = 2{x^3} + {x^2}\log x\)Step 1:

We know that\(\log x\)grows more slowly than\(x\)

\( \Rightarrow {x^2}\log x\)grows more slowly than\({x^3}\)

Here, first term is dominating

02

Step 2:

Therefore, this function is\(O({x^3})\)but not\(O({x^n})\)for any\(n < 3\)

\( \Rightarrow 2{x^3} + {x^2}\log x \le 2{x^3} + {x^3} = 3{x^3}\)for all\(x\)

\( \Rightarrow C = 3\) and \(k = 0\)

03

Subpart (b): \(f(x) = 3{x^3} + {(\log x)^4}\)Step 1:

We know that every power of\(\log x\)grows more slowly than\(x\)

\( \Rightarrow {(\log x)^4}\)grows more slowly than\(3{x^3}\)

Here, first term is dominating

04

Step 2:

\({(\log x)^4} < {x^3}\)for all\(x > 1\)

So,\(3{x^3} + {(\log x)^4} \le 3{x^3} + {x^3} = 4{x^3}\)for all\(x\)

\( \Rightarrow C = 4\) and \(k = 1\)

05

Subpart (c): \(f(x) = ({x^4} + {x^2} + 1)/({x^3} + 1)\)Step 1:

Using long division method in\(f(x) = ({x^4} + {x^2} + 1)/({x^3} + 1)\)we get

Remainder\({x^2} - x + 1\)

We can write the fraction as

\(f(x) = \frac{{{x^4} + {x^2} + 1}}{{{x^3} + 1}}\)as\(x + \frac{{{x^2} - x + 1}}{{{x^3} + 1}}\)

This function is \(O(x)\), so \(n = 1\)

06

Step 2:

\(f(x) = x + \frac{1}{{x + 1}} \le 2x\)for all\(x > 1\)

\( \Rightarrow C = 2\) and \(k = 1\)

07

Subpart (d): \(f(x) = ({x^4} + 5\log x)/({x^4} + 1)\)Step 1:

Using long division method in\(f(x) = ({x^4} + 5\log x)/({x^4} + 1)\)we get

Remainder\(5x - 1\)

We can write the fraction as

\(f(x) = \frac{{{x^4} + 5\log x}}{{{x^4} + 1}}\)as\(1 + \frac{{5x - 1}}{{{x^4} + 1}}\)

This function is \(O(1)\), so \(n = 0\)

08

Step 2:

Since,\(5\log x < {x^4}\)for\(x > 1\)

We have

\(f(x) \le \frac{{2{x^4}}}{{{x^4}}} = 2\)

\( \Rightarrow C = 2\) and \(k = 1\)

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Most popular questions from this chapter

Use Algorithm to schedule the largest number of talks in a lecture hall from a proposed set of talks, if the starting and ending times of the talks are 9 : 00 A.M. and 9 : 45 A.M ; 9:30 A.M and 10:10 A.M ; 9:50 A.M and 10:15 A.M ; 10:00 A.M and 10:30A.M ; 10:10 A.M and 10:25 A.M ; 10:30 A.Mand 10:55 A.M ; 10:15 A.M and 10:45 A.M ;10:30 A.M and 11:00 A.M ; 10:45 A.M and 11:30 A.M ; 10:55 A.M and 11:25 A.M ; 11:00 A.M and 11:15 A.M .

a.) Define what the worst-case time complexity, average-case time complexity, and best-case time complexity (in terms of conditions) mean for an algorithm that find the smallest integer in a list of nintegers.

b.) What are the worst-case , average-case, and best-case time complexities, in terms of comparisons) mean for algorithm that finds the smallest integer in a list of nintegers by comparing each of the integers with the smallest integer found so far?

a)Devise a variation of the insertion sort that uses a linear search technique that inserts the j th element in the correct place by first comparing it with the (j−1)st element, then the (j−2)th element if necessary, and so on.

b) Use your algorithm to sort 3, 2, 4, 5, 1, 6.

c) Answer Exercise 45 using this algorithm.

d) Answer Exercise 46 using this algorithm.

Use the greedy algorithm to make change using quarters, dimes, nickels, and pennies for

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c) 76 cents. d) 60 cents.

a) Adapt Algorithm 1 in Section 3.1 to find the maximum and the minimum of a sequence of elements by employing a temporary maximum and a temporary minimum that is updated as each successive element is examined.

b) Describe the algorithm from part (a) in pseudocode.

c) How many comparisons of elements in the sequence are carried out by this algorithm? (Do not count comparisons used to determine whether the end of the sequence has been reached.)

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