CS502 Midterm Online Quiz

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CS502-Midterm

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Slow sorting algorithms run in,

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______________ graphical representation of algorithm.

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

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

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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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What is the total time to heapify?

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Sorting can be in _________

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For the heap sort we store the tree nodes in

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Which sorting algorithm is faster

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

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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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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.

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

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

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

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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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Random access machine or RAM is a/an

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

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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.

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One Example of in place but not stable sort is

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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.

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

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For the sieve technique we solve the problem,

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Analysis of Selection algorithm ends up with,

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

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

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What is the total time to heapify?

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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,

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

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

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

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_______________ is a graphical representation of an algorithm

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

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

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

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

39 / 50

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

40 / 50

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

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

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

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Sieve Technique can be applied to selection problem?

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

45 / 50

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

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

48 / 50

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

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

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Counting sort has time complexity:

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