CS502 Midterm Online Quiz

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CS502-Midterm

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

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

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

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The O-notation is used to state only the asymptotic ________bounds.

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

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The Knapsack problem belongs to the domain of _______________ problems.

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

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

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

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

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The number of nodes in a complete binary tree of height h 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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For small values of n, any algorithm is fast enough. Running time does become an issue when n gets large.

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

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What is the total time to heapify?

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

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In RAM model instructions are executed

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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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The running time of quick sort depends heavily on the selection of

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

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Which may be stable sort:

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

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

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

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One example of in place but not stable algorithm is

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In which order we can sort?

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Quick sort is

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

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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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A heap is a left-complete binary tree that conforms to the ___________

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

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For the Sieve Technique we take time

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

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

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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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The definition of Theta-notation relies on proving ___________asymptotic bound.

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

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Is it possible to sort without making comparisons?

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

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

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

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