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Professor F. Lake tells his class that it is asymptotically faster to square an -bit integer than to multiply two n-bit integers. Should they believe him?

Short Answer

Expert verified

No, the statement of Professor F. Lake is wrong.

Step by step solution

01

Introduction

Evaluate the following details:

鈥 The algorithm's execution time is determined using asymptotic notations.

鈥 According to the Professor, the n-bit integer algorithm squaring is faster than multiplying two n-bit integers.

鈥 The algorithm's asymptotic value is determined by the number of items and actions in the algorithm.

02

Correct Fact

鈥淣o鈥, students should not believe the professor.

Description:

鈥 When an n-bit integer is squared, numerous cross-terms become equal.

鈥 As a result, there's no need to do it again.

鈥 Take the 3-bit integer "1012" as an example.

鈥 This number is written as a2, a1 , and a0 from left to right.

鈥 If you square this number, you'll obtain 9 terms.

鈥 In the matrix below, the terms are listed.

a2a2a2a1a2a0a1a2a1a1a1a0a0a2a0a1a0a0

鈥 This is a symmetric matrix. Because the primary diagonal's components are all the same.

鈥 In other words, certain elements do not require calculation.

鈥 As a result, this approach for squaring n-bit values is not asymptotically superior.

鈥 This algorithm will benefit from a steady pace.,

As a result, Professor is incorrect in his assertion that the fast-squaring method may be improved at a constant pace.

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Most popular questions from this chapter

Question: Solve the following recurrence relations and give a bound for each of them.

(a)T(n)=2T(n/3)+1(b)T(n)=5T(n/4)+n(c)T(n)=7T(n/7)+n(d)T(n)=9T(n/3)+n2(e)T(n)=8T(n/2)+n3(f)T(n)=49T(n/25)+n(3/2)logn(g)T(n)=T(n-1)+2(h)T(n)=T(n-1)+nc,whereisaconstant(i)T(n)=T(n-1)+cn,whereissomeconstant(j)T(n)=2T(n-1)+1(k)T(n)=T(n)+1

Given a sorted array of distinct integersA[1,...,n] , you want to find out whether there is an indexi for which A[i]=i. Give a divide-and-conquer algorithm that runs in time O(logn).

In this problem we will develop a divide-and-conquer algorithm for the following geometric task.

CLOSEST PAIRInput: A set of points in the plane, {p1=(x1;y1),p2=(x2,y2),...,pn=(xn,yn)}

Output: The closest pair of points: that is, the pair PiPjfor which the distance between piand pj, that is,

(xi-xi)2+z(yi-yi)2,

is minimized.

For simplicity, assume that n is a power of two, and that all the x-coordinates role="math" localid="1659237354869" xi are distinct, as are the y-coordinates.

Here鈥檚 a high-level overview of the algorithm:

.Find a value for which exactly half the points have xi<x, and half have xi>x. On this basis, split the points into two groups, L and R.

鈥 Recursively find the closest pair in L and in R. Say these pairs are pLqLLand pRqRRwith distances dLand dR respectively. Let d be the smaller of these two distances.

鈥 It remains to be seen whether there is a point in Land a point in R that are less than distance dapart from each other. To this end, discard all points with xi<x-dor xi>x+d and sort the remaining points by y-coordinate.

鈥 Now, go through this sorted list, and for each point, compute its distance to the seven subsequent points in the list. Let pMqMbe the closest pair found in this way.

鈥 The answer is one of the three pairs role="math" localid="1659237951608" {pL,qL},{pR,qR}{pM,qM}, whichever is closest.

(a) In order to prove the correctness of this algorithm, start by showing the following property: any square of size dd in the plane contains at most four points of L.

(b) Now show that the algorithm is correct. The only case which needs careful consideration is when the closest pair is split between L and R.

(c) Write down the pseudocode for the algorithm, and show that its running time is given by the recurrence:

T(n)=2T(nl2)+0(nlogn)

Show that the solution to this recurrence is o(nlogzn).

(d) Can you bring the running time down to O(nlogn)?

A linear, time-invariant system has the following impulse response:


(a) Describe in words the effect of this system.

(b) What is the corresponding polynomial

Question: On page 66 there is a high-level description of the quicksort algorithm.

(a) Write down the pseudocode for quicksort.

(b) Show that its worst - case running time on an array of size n is (n)2.

(c) Show that its expected running time satisfies the recurrence relation.

T(n)O(n)+1ni=1n-1(Ti+Tn-i)

Then, show that the solution to this recurrence is O(nlogn).

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