CS502-Midterm
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Counting sort has time complexity:
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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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For the Sieve Technique we take time
4 / 50
We cannot make any significant improvement in the running time which is better than that of brute-force algorithm.
5 / 50
In Heap Sort algorithm, if heap property is violated _________
6 / 50
While Sorting, the ordered domain means for any two input elements x and y _________ satisfies only.
7 / 50
In 2d-space a point is said to be ________if it is not dominated by any other point in that space.
8 / 50
For small values of n, any algorithm is fast enough. Running time does become an issue when n gets large.
9 / 50
In Heap Sort algorithm, the maximum levels an element can move upward is _________
10 / 50
In Sieve Technique we do not know which item is of interest
11 / 50
How many elements do we eliminate in each time for the Analysis of Selection algorithm?
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Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:
13 / 50
_______________ is a graphical representation of an algorithm
14 / 50
A point p in 2-dimensional space is usually given by its integer coordinate(s)____________
15 / 50
For the sieve technique we solve the problem,
16 / 50
Brute-force algorithm uses no intelligence in pruning out decisions.
17 / 50
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19 / 50
Heaps can be stored in arrays without using any pointers; this is due to the ____________ nature of the binary tree,
20 / 50
The analysis of Selection algorithm shows the total running time is indeed ________in n,
21 / 50
An algorithm is a mathematical entity that is dependent on a specific programming language.
22 / 50
Algorithm is a mathematical entity, which is independent of a specific machine and operating system.
23 / 50
In Heap Sort algorithm, the total running time for Heapify procedure is ____________
24 / 50
The Knapsack problem belongs to the domain of _______________ problems.
25 / 50
Efficient algorithm requires less computational…….
26 / 50
In analysis, the Upper Bound means the function grows asymptotically no faster than its largest term.
27 / 50
The running time of quick sort depends heavily on the selection of
28 / 50
Quick sort is
29 / 50
The number of nodes in a complete binary tree of height h is
30 / 50
In which order we can sort?
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32 / 50
A RAM is an idealized machine with ______________ random-access memory.
33 / 50
In Quick Sort Constants hidden in T(n log n) are
34 / 50
In pseudo code, the level of details depends on intended audience of the algorithm.w
35 / 50
Before sweeping a vertical line in plane sweep approach, in start sorting of the points is done in increasing order of their _______coordinates.
36 / 50
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.
37 / 50
The definition of Theta-notation relies on proving ___________asymptotic bound.
38 / 50
In simple brute-force algorithm, we give no thought to efficiency.
39 / 50
After sorting in merge sort algorithm, merging process is invoked.
40 / 50
_________ is one of the few problems, where provable lower bounds exist on how fast we can sort.
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Analysis of Selection algorithm ends up with,
42 / 50
______________ graphical representation of algorithm.
43 / 50
For Chain Matrix Multiplication we can not use divide and conquer approach because,
44 / 50
The ancient Roman politicians understood an important principle of good algorithm design that is plan-sweep algorithm.
45 / 50
Random access machine or RAM is a/an
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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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F (n) and g (n) are asymptotically equivalent. This means that they have essentially the same __________ for large n.
48 / 50
The O-notation is used to state only the asymptotic ________bounds.
49 / 50
In analysis of f (n) =n (n/5) +n-10 log n, f (n) is asymptotically equivalent to ________.
50 / 50
In Heap Sort algorithm, we build _______ for ascending sort.
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