CS502 Midterm Online Quiz

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CS502-Midterm

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

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

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______________ graphical representation of algorithm.

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Counting sort has time complexity:

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

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44.The running time of an algorithm would not depend upon the optimization by the compiler but that of an implementation of the algorithm would depend on it.

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

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Sorting is one of the few problems where provable ________ bonds exits on how fast we can sort,

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What is the solution to the recurrence T(n) = T(n/2)+n .

10 / 50

We cannot make any significant improvement in the running time which is better than that of brute-force algorithm.

11 / 50

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

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

13 / 50

Quick sort is

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

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

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

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For the worst-case running time analysis, the nested loop structure containing one “for” and one “while” loop, might be expressed as a pair of _________nested summations.

18 / 50

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

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What is the total time to heapify?

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Analysis of Selection algorithm ends up with,

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In Heap Sort algorithm, the maximum levels an element can move upward is _________

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

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

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

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

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The array to be sorted is not passed as argument to the merge sort algorithm.

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

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

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If the indices passed to merge sort algorithm are ________,then this means that there is only one element to sort.

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

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

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

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

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

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In RAM model instructions are executed

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Sieve Technique can be applied to selection problem?

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Random access machine or RAM is a/an

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For the Sieve Technique we take time

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

42 / 50

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

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Which may be stable sort:

44 / 50

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

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

46 / 50

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

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

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

49 / 50

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

50 / 50

For small values of n, any algorithm is fast enough. Running time does become an issue when n gets large.

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