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The size of stack was declared as ten. Thus, stack cannot hold more than ten elements. The major operations which can be performed onto a stack are push and pop. However, in a program, we have to provide two more options, namely, show elements & exit. Show elements will display the elements of the stack. In particular case, the user is not interested to carry out any operation onto the stack and would like to get out of the program, and then s/he will choose exit option. It will log the user out of the program. Choice is a variable that will enable the user to choose the option from the push, pop, show elements & exit operations. top points towards the index of the free location in the stack to where the next element can be pushed. Element is the variable that accepts the integer that need to be pushed onto the stack or will hold the top element of the stack which has to be popped from the stack. The array stack can hold at most ten elements. Push & pop will carry out the operations of pushing the element to the stack & popping the element from the stack respectively.
Q. Construct a binary tree whose nodes in inorder and preorder are written as follows: Inorder : 10, 15, 17, 18, 20, 25, 30, 35, 38, 40, 50 Preorder: 20, 15, 10
Sorting is significant application activity. Several sorting algorithms are obtainable. But, each is efficient for a specific situation or a specific kind of data. The choice of a
Method to measure address of any element of a matrix stored in memory. Let us consider 2 dimensional array a of size m*n further consider that the lower bound for the row index
#quCreate a flowchart to show the process that will allow the implementation of Queue, Enqueue, and Dequeue operations.estion..
given the string "Data Structures & , Algorithms", write a program that uses sequential search to return index of ''&''
bfs and dfs
Define the External Path Length The External Path Length E of an extended binary tree is explained as the sum of the lengths of the paths - taken over all external nodes- from
what is algorithim?
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
Data records are stored in some particular sequence e.g., order of arrival value of key field etc. Records of sequential file cannot be randomly accessed i.e., to access the n th
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