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Postorder traversal of a binary tree
struct NODE
{
struct NODE *left;
int value; /* can take any data type */
struct NODE *right;
};
postorder(struct NODE *curr)
if(curr->left != NULL) postorder(curr->left);
if(curr->right != NULL) postorder(curr->right);
printf("%d", curr->value);
}
In a preorder traversal, first (pre) the root is visited and then the left & right sub- trees are traversed. In a postorder traversal, first the left sub-tree is visited, followed by right sub-tree which is then followed through root. In inorder traversal, first the left sub- tree is visited, followed by root, followed by right sub-tree.
Complexity of an Algorithm An algorithm is a sequence of steps to solve a problem; there may be more than one algorithm to solve a problem. The choice of a particular algorith
One of the main problems with the linear queue is the lack of appropriate utilization of space. Assume that the queue can store 100 elements & the complete queue is full. Thus, it
Since memory is becoming more & cheaper, the prominence of runtime complexity is enhancing. However, it is very much significant to analyses the amount of memory utilized by a prog
/* The program accepts matrix like input & prints the 3-tuple representation of it*/ #include void main() { int a[5][5],rows,columns,i,j; printf("enter the order of
Maximum numbers of nodes a binary tree of depth d The maximum numbers of nodes a binary tree of depth d can have is 2 d+1 -1.
How to create multiple queue on single array?
Q. Describe the term array. How do we represent two-dimensional arrays in memory? Explain how we calculate the address of an element in a two dimensional array.
This notation bounds a function to in constant factors. We say f(n) = Θ(g(n)) if there presents positive constants n 0 , c 1 and c 2 such that to the right of n 0 the value of f
Your program should include three components selling, buying and managing for the use of sellers, buyers and the Manager, respectively. Provide a menu for a user to enter each comp
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
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