CS502 Midterm Online Quiz

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CS502-Midterm

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The analysis of Selection algorithm shows the total running time is indeed ________in n,

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

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Quick sort is

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

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

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

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

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

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

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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.

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Is it possible to sort without making comparisons?

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

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

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A RAM is an idealized machine with ______________ random-access memory.

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In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,

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

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

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

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The Knapsack problem belongs to the domain of _______________ problems.

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

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

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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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_______________ is a graphical representation of an algorithm

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Random access machine or RAM is a/an

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

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Which sorting algorithm is faster

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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 ________.

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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 .

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

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

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

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

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

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

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

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

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

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What is the total time to heapify?

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

45 / 50

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

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

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

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In Heap Sort algorithm, if heap property is violated _________

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

50 / 50

For the sieve technique we solve the problem,

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