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Complexity is the rate at which the needed storage or consumed time rise as a function of the problem size. The absolute growth based on the machine utilized to execute the program
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
Q. By giving an example show how multidimensional array can be represented in one the dimensional array.
With the help of a program and a numerical example explain the Depth First Traversal of a tree.
Explain the Memory Function method The Memory Function method seeks to combine strengths of the top down and bottom-up approaches to solving problems with overlapping su
Define Binary Tree A binary tree T is explained as a finite set of nodes that is either empty or having of root and two disjoint binary trees TL, and TR known as, respectively
Time Complexity, Big O notation The amount of time needed by an algorithm to run to its completion is referred as time complexity. The asymptotic running time of an algorithm i
Write c++ function to traverse the threaded binary tree in inorder traversal
Example of worse case of time
for(int i = 0; i for (int j = n - 1; j >= i ; j--){ System.out.println(i+ " " + j);
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