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A database is a collection of data organized in a manner that facilitates updation, retrieval and management of the data. Searching an unindexed database having n keys will have a worst case running time of O (n). If the similar data is indexed along with a b-tree, then the similar search operation will run in O(log n) time. Indexing great amounts of data can improve search performance significantly.
Taking a suitable example explains how a general tree can be shown as a Binary Tree. Conversion of general trees to binary trees: A general tree can be changed into an equiv
For preorder traversal, in the worst case, the stack will rise to size n/2, where n refer to number of nodes in the tree. Another method of traversing binary tree non-recursively t
A full binary tree with n leaves have:- 2n -1 nodes.
Question 1 Explain the use of algorithms in computing Question 2 Explain time complexity and space complexity of an algorithm Question 3 Explain how you can analyz
I need help writing a pseudocode for my assignment can anyone help?
The complexity Ladder: T(n) = O(1). It is called constant growth. T(n) does not raise at all as a function of n, it is a constant. For illustration, array access has this c
Write an algorithm for binary search. What are its limitations? .
An unsorted array is searched through linear search that scans the array elements one by one until the wanted element is found. The cause for sorting an array is that we search
What will be depth do , of complete binary tree of n nodes, where nodes are labelled from 1 to n with root as node and last leaf node as node n
Ask question find frequency count of function- {for(i=1;i {for(j=1;j {for(k=1;k } } }
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