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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.
A linear list of elements in which deletion can be done from one end (front) and insertion can take place only at the other end (rear) is called as a Queue.
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
traverse the graph as BFS
Program segment for the deletion of any element from the queue delmq(i) /* Delete any element from queue i */ { int i,x; if ( front[i] == rear[i]) printf("Queue is
In this unit, we learned the data structure arrays from the application point of view and representation point of view. Two applications that are representation of a sparse matrix
define abstract type
(1) Sort a list of distinct numbers in ascending order, using the following divide- and-conquer strategy (Quicksort): divide the list of numbers into two lists: one that contains a
Explain Space Complexity Space Complexity :- The space complexity of an algorithm is the amount of memory it requires to run to completion. Some of the reasons to study space
What is the best case complexity of quick sort In the best case complexity, the pivot is in the middle.
bfs and dfs
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