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Consider the following Cfunction:
Suppose we modify the above function foo() and store the values of foo (i), 0 < = i < n, as and when they are computed. With this modification, the time complexity for function foo() is significantly reduced. The space complexity of the modified function would be:
Two matrices M1 and M2 are to be stored in arrays A and B respectively. Each array can be stored either in rowmajor or columnmajor order in contiguous memory locations. The time complexity of an algorithm to compute M1 × M2 will be
Let A[1, ..., n] be an array storing a bit (1 or 0) at each location, and f(m) is a unction whose time complexity is θ(m). Consider the following program fragment written in a C like language:
Q. The complexity of this program fragment is
The recurrence equation
T(1) = 1
T(n) = 2T(n  1) + n, n ≥ 2
evaluates to
Consider the following three claims
1. (n + k)^{m} = Θ(n^{m}), where k and m are constants
2. 2^{n + 1} = O(2^{n})
3. 2^{2n + 1} = O(2^{n})
Q. Which of these claims are correct ?
In a permutation a1.....an of n distinct integers, an inversion is a pair (ai, aj) such that i < j and ai > aj. What would be the worst case time complexity of the Insertion Sort algorithm, if the inputs are restricted to permutations of 1.....n with at most n inversions?
Randomized quicksort is an extension of quicksort where the pivot is chosen randomly. What is the worst case complexity of sorting n numbers using randomized quicksort?
The increasing order of following functions in terms of asymptotic complexity is:
Which one of the following is the recurrence equation for the worst case time complexity of the Quicksort algorithm for sorting n(≥ 2) numbers? In the recurrence equations given in the options below, c is a constant.
Consider the following C function.
Q. Which one of the following most closely approximates the return value of the function fun1?
An unordered list contains n distinct elements. The number of comparisons to find an element in this list that is neither maximum nor minimum is
Q. The equality above remains correct if X is replace by
In the following table, the left column contains the names of standard graph algorithms and the right column contains the time complexities of the algorithms. Match each algorithm with its time complexity.
1. BellmanFord algorithm
2. Kruskal’s algorithm
3. FloydWarshall algorithm
4. Topological sorting
A : O(m log n)
B : O(n^{3})
C : O(nm)
D : O(n + m)
Let T(n) be a function defined by the recurrence T(n) = 2T(n/2) + √n for n ≥ 2 and T(1) = 1 Which of the following statements is TRUE?
The worst case running times of Insertion sort, Merge sort and Quick sort, respectively, are:
Assume that the algorithms considered here sort the input sequences in ascending order. If the input is already in ascending order, which of the following are TRUE ?
I. Quicksort runs in Θ(n^{2}) time
II. Bubblesort runs in Θ(n^{2}) time
III. Mergesort runs in Θ(n) time
IV. Insertion sort runs in Θ(n) time
A problem in NP is NPcomplete if
The characters a to h have the set of frequencies based on the first 8 Fibonacci numbers as follows
a : 1, b : 1, c : 2, d : 3, e : 5, f : 8, g : 13, h : 21
A Huffman code is used to represent the characters. What is the sequence of characters corresponding to the following code? 110111100111010
What is the size of the smallest MIS(Maximal Independent Set) of a chain of nine nodes?
Arrange the following functions in increasing asymptotic order:
A. n^{1/3}
B. e^{n}
C. n^{7/4}
D. n log^{9}n
E. 1.0000001^{n}
152 docs216 tests

Test: Asymptotic Worst Case Time & Space Complexity 4 Test  20 ques 
Test: Minimum Spanning Trees Test  20 ques 
Test: Greedy Test  10 ques 
Test: Shortest Paths Test  20 ques 
Test: Dynamic Programming & DivideAndConquer Test  20 ques 
152 docs216 tests

Test: Asymptotic Worst Case Time & Space Complexity 4 Test  20 ques 
Test: Minimum Spanning Trees Test  20 ques 
Test: Greedy Test  10 ques 
Test: Shortest Paths Test  20 ques 
Test: Dynamic Programming & DivideAndConquer Test  20 ques 