adplus-dvertising
frame-decoration

Question

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

a.

Only I and II are correct

b.

Only I is correct

c.

I and III are correct

d.

All are correct

Answer: (d).All are correct

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

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

Similar Questions

Discover Related MCQs

Q. If the array is sorted the complexity is

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

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

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

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

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

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

Q. A complete binary tree with 10 leaves

Q. Which of the following is not correct?

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

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?

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

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

Q. The time complexity of comparison based sorting algorithm is

Q. Adjacency matrix for a digraph is

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

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

Q. Merge sort uses

Q. For merging two sorted lists of sizes m and n to a sorted list of size m+n, we require Comparisons of

Q. The search concept used in associative memory is