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Full Binary Trees: A binary tree of height h that had 2h -1 elements is called a Full Binary Tree.
Complete Binary Trees: A binary tree whereby if the height is d, and all of levels, except perhaps level d, are totally full. If the bottom level is incomplete, then it contains all nodes to the left side. That is the tree has been filled into the level order from left to right.
How to measure the algorithm's efficiency? It is logical to examine the algorithm's efficiency as a function of some parameter n showing the algorithm's input size. Instance
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
A significant aspect of Abstract Data Types is that they explain the properties of a data structure without specifying the details of its implementation. The properties might be im
Mid Square method with good example
Merge sort is also one of the 'divide & conquer' classes of algorithms. The fundamental idea in it is to split the list in a number of sublists, sort each of these sublists & merge
explain quick sort algorithm
Implement multiple stacks in a single dimensional array. Write algorithms for various stack operations for them.
Create a class "box" that will contain a random integer value v such that O
Write an algorithm to count number of nodes in the circular linked list. Ans. Counting No of Nodes in Circular List Let list be a circular h
Asymptotic notation Let us describe a few functions in terms of above asymptotic notation. Example: f(n) = 3n 3 + 2n 2 + 4n + 3 = 3n 3 + 2n 2 + O (n), as 4n + 3 is of
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