Q. Which of the following is not an application of binary search trees?

View solution

Q. Consider the following statements:

I. An algorithm is a no.of steps to be performed to solve a problem
II. An algorithm is a no.of steps as well as the implementation using any language to a given Problem
III. To a given problem there may be more than one algorithm

Which one of the following is true?

View solution

Q. Which one of the following is true?

I. aⁿ = O(n²) (small oh) a>0
II. an²=O(n²) (big oh) a>0
III. an² O(n²) (small oh) a>0

View solution

Q. If the array is sorted the complexity is

View solution

Q. If the array is in reverse sorted order, then time complexities will be

View solution

Q. What be the time complexity for any typical array order?

View solution

Q. Quick sort gives O(n log n) worst case performances if the pivot is selected as

View solution

Q. T (n) = (2n/3)+1 then T(n) is equal to

View solution

Q. A language developed to assist children in learning geometric shapes and computing aspects is

View solution

Q. Search tables used by compilers for efficient searching generally use

View solution

Q. A complete binary tree with 10 leaves

View solution

Q. Which of the following is not correct?

View solution

Q. Maximum possible height of an AVL tree with 7 nodes is

View solution

Q. What is the minimal number of edges which must be removed from a complete bi partite graph of 6 nodes k(6) so that the remaining graph is planer?

View solution

Q. A strictly binary tree with n leave always contain nodes?

View solution

Q. The following sequence of the operations is performed on a stack PUSH(10), PUSH(20), POP, PUSH(10), PUSH(20), POP, POP, POP, PUSH(20), POP the sequence of values popped out is

View solution

Q. The time complexity of comparison based sorting algorithm is

View solution

Q. Adjacency matrix for a digraph is

View solution

Q. The time required to insert an element in a stack with linked list implementation is

View solution

Q. The time required to search an element in a binary search tree having n element is

View solution