CS502 Midterm Online Quiz

0%

CS502-Midterm

1 / 50

A (an) _________ is a left-complete binary tree that conforms to the heap order

2 / 50

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

3 / 50

Random access machine or RAM is a/an

4 / 50

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

5 / 50

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

6 / 50

In which order we can sort?

7 / 50

After sorting in merge sort algorithm, merging process is invoked.

8 / 50

In Heap Sort algorithm, we build _______ for ascending sort.

9 / 50

In addition to passing in the array itself to Merge Sort algorithm, we will pass in _________other arguments which are indices.

10 / 50

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

11 / 50

Brute-force algorithm uses no intelligence in pruning out decisions.

12 / 50

The sieve technique works in ___________ as follows

13 / 50

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

14 / 50

An in place sorting algorithm is one that uses ___ arrays for storage

15 / 50

An algorithm is a mathematical entity that is dependent on a specific programming language.

16 / 50

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

17 / 50

In pseudo code, the level of details depends on intended audience of the algorithm.w

18 / 50

What type of instructions Random Access Machine (RAM) can execute?

19 / 50

In Heap Sort algorithm, the total running time for Heapify procedure is ____________

20 / 50

______________ graphical representation of algorithm.

21 / 50

In ____________ we have to find rank of an element from given input.

22 / 50

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.

23 / 50

Algorithm is a mathematical entity, which is independent of a specific machine and operating system.

24 / 50

For the Sieve Technique we take time

25 / 50

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

26 / 50

The sieve technique is a special case, where the number of sub problems is just

27 / 50

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

28 / 50

Which may be stable sort:

29 / 50

_______________ is a graphical representation of an algorithm

30 / 50

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

31 / 50

Quick sort is

32 / 50

Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:

33 / 50

How many elements do we eliminate in each time for the Analysis of Selection algorithm?

34 / 50

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

35 / 50

For the heap sort, access to nodes involves simple _______________ operations.

36 / 50

Heaps can be stored in arrays without using any pointers; this is due to the ____________ nature of the binary tree,

37 / 50

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

38 / 50

F (n) and g (n) are asymptotically equivalent. This means that they have essentially the same __________ for large n.

39 / 50

In RAM model instructions are executed

40 / 50

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

41 / 50

The number of nodes in a complete binary tree of height h is

42 / 50

Consider the following code:

For(j=1; j

For(k=1; k<15;k++)

For(l=5; l

{

Do_something_constant();

}

What is the order of execution for this code.

43 / 50

Efficient algorithm requires less computational…….

44 / 50

For the heap sort we store the tree nodes in

45 / 50

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

46 / 50

Algorithm is concerned with.......issues.

47 / 50

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

48 / 50

Which may be a stable sort?

49 / 50

Which sorting algorithm is faster

50 / 50

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.

Your score is

The average score is 40%

0%

Qunoot e Nazilah
Dua e Hajat
4 Qul
6 Kalma
Dua-e-Akasha
Darood Akbar
Surah Fatiha
Dua-e-Ganj Ul Arsh
Dua-e-Jamilah
Ayat-ul-Kursi