CS502-Midterm
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A RAM is an idealized algorithm with takes an infinitely large random-access memory.
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Which sorting algorithm is faster
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What is the total time to heapify?
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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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The time assumed for each basic operation to execute on RAM model of computation is-----
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In 2d-space a point is said to be ________if it is not dominated by any other point in that space.
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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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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 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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One example of in place but not stable algorithm is
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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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Brute-force algorithm for 2D-Maxima is operated by comparing ________ pairs of points.
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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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_______________ is a graphical representation of an algorithm
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The Knapsack problem belongs to the domain of _______________ problems.
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Due to left complete nature of binary tree, the heap can be stored in
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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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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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A point p in 2-dimensional space is usually given by its integer coordinate(s)____________
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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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The ancient Roman politicians understood an important principle of good algorithm design that is plan-sweep algorithm.
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For Chain Matrix Multiplication we can not use divide and conquer approach because,
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The definition of Theta-notation relies on proving ___________asymptotic bound.
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When we call heapify then at each level the comparison performed takes time
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Algorithm analysts know for sure about efficient solutions for NP-complete problems.
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Analysis of Selection algorithm ends up with,
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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 analysis, the Upper Bound means the function grows asymptotically no faster than its largest term.
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Efficient algorithm requires less computational…….
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Quick sort is best from the perspective of Locality of reference.
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Cont sort is suitable to sort the elements in range 1 to k
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The running time of quick sort depends heavily on the selection of
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Floor and ceiling are ____________ to calculate while analyzing algorithms.
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In Sieve Technique we do not know which item is of interest
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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 Heap Sort algorithm, if heap property is violated _________
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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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While solving Selection problem, in Sieve technique we partition input data __________w
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In Quick sort, we don’t have the control over the sizes of recursive calls
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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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While Sorting, the ordered domain means for any two input elements x and y _________ satisfies only.
46 / 50
In Quick Sort Constants hidden in T(n log n) are
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How much time merge sort takes for an array of numbers?
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______________ graphical representation of algorithm.
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The sieve technique works where we have to find _________ item(s) from a large input.
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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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