CS502 Midterm Online Quiz

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CS502-Midterm

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

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

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

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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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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 Heap Sort algorithm, we build _______ for ascending sort.

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

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One example of in place but not stable algorithm is

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

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

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

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In which order we can sort?

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

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One Example of in place but not stable sort is

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

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

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Analysis of Selection algorithm ends up with,

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For the sieve technique we solve the problem,

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

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

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For the Sieve Technique we take time

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The function f(n)=n(logn+1)/2 is asymptotically equivalent to nlog n. Here Lower Bound means function f(n) grows asymptotically at ____________ as fast as nlog n.

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Which may be stable sort:

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Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:

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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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What is the total time to heapify?

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

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

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

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

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

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

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

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One of the clever aspects of heaps is that they can be stored in arrays without using any _______________.

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The Knapsack problem belongs to the domain of _______________ problems.

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

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

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Quick sort is

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

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

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

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

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

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In Heap Sort algorithm, if heap property is violated _________

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______________ graphical representation of algorithm.

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