CS502 Midterm Online Quiz

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CS502-Midterm

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A RAM is an idealized algorithm with takes an infinitely large random-access memory.

2 / 50

Which sorting algorithm is faster

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What is the total time to heapify?

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The reason for introducing Sieve Technique algorithm is that it illustrates a very important special case of,

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The time assumed for each basic operation to execute on RAM model of computation is-----

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In 2d-space a point is said to be ________if it is not dominated by any other point in that space.

7 / 50

In simple brute-force algorithm, we give no thought to efficiency.

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In analysis of f (n) =n (n/5) +n-10 log n, f (n) is asymptotically equivalent to ________.

9 / 50

Divide-and-conquer as breaking the problem into a small number of

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Sieve Technique applies to problems where we are interested in finding a single item from a larger set of _____________

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In plane sweep approach, a vertical line is swept across the 2d-plane and _______structure is used for holding the maximal points lying to the left of the sweep line.

12 / 50

One example of in place but not stable algorithm is

13 / 50

If we associate (x, y) integers pair to cars where x is the speed of the car and y is the negation of the price. High y value for a car means a ________ car.

14 / 50

Brute-force algorithm for 2D-Maxima is operated by comparing ________ pairs of points.

15 / 50

In analysis, the Lower Bound means the function grows asymptotically at least as fast as its largest term.

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_______________ is a graphical representation of an algorithm

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The Knapsack problem belongs to the domain of _______________ problems.

18 / 50

Due to left complete nature of binary tree, the heap can be stored in

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Upper bound requires that there exist positive constants c2 and n0 such that f(n) ____ c2n for all n <= n0(ye question ghalat lag raha hai mujhae

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The function f(n)=n(logn+1)/2 is asymptotically equivalent to nlog n. Here Lower Bound means function f(n) grows asymptotically at ____________ as fast as nlog n.

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A point p in 2-dimensional space is usually given by its integer coordinate(s)____________

22 / 50

What is the total time to heapify?

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_________ is one of the few problems, where provable lower bounds exist on how fast we can sort.

24 / 50

The ancient Roman politicians understood an important principle of good algorithm design that is plan-sweep algorithm.

25 / 50

For Chain Matrix Multiplication we can not use divide and conquer approach because,

26 / 50

The definition of Theta-notation relies on proving ___________asymptotic bound.

27 / 50

When we call heapify then at each level the comparison performed takes time

28 / 50

Algorithm analysts know for sure about efficient solutions for NP-complete problems.

29 / 50

Analysis of Selection algorithm ends up with,

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The function f(n)= n(logn+1)/2 is asymptotically equivalent to n log n. Here Upper Bound means the function f(n) grows asymptotically ____________ faster than n log n.

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In analysis, the Upper Bound means the function grows asymptotically no faster than its largest term.

32 / 50

Efficient algorithm requires less computational…….

33 / 50

Quick sort is best from the perspective of Locality of reference.

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Cont sort is suitable to sort the elements in range 1 to k

35 / 50

The running time of quick sort depends heavily on the selection of

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

37 / 50

In Sieve Technique we do not know which item is of interest

38 / 50

For Chain Matrix Multiplication we can not use divide and conquer approach because,

39 / 50

Before sweeping a vertical line in plane sweep approach, in start sorting of the points is done in increasing order of their _______coordinates.

40 / 50

In Heap Sort algorithm, if heap property is violated _________

41 / 50

In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,

42 / 50

While solving Selection problem, in Sieve technique we partition input data __________w

43 / 50

In Quick sort, we don’t have the control over the sizes of recursive calls

44 / 50

In selection algorithm, because we eliminate a constant fraction of the array with each phase, we get the

45 / 50

While Sorting, the ordered domain means for any two input elements x and y _________ satisfies only.

46 / 50

In Quick Sort Constants hidden in T(n log n) are

47 / 50

How much time merge sort takes for an array of numbers?

48 / 50

______________ graphical representation of algorithm.

49 / 50

The sieve technique works where we have to find _________ item(s) from a large input.

50 / 50

One of the clever aspects of heaps is that they can be stored in arrays without using any _______________.

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