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Tree is a widely used data structure employed for representing several problems. We studied tree like a special case of acyclic graph. Though, rooted trees are most prominent of all trees. We discussed definition & properties of general trees along their applications. Several tree traversal methods are also discussed.
Binary tree are the special case that have at most two children. Binary trees are mostly implemented via link lists. Several tree traversal mechanisms comprise inorder, preorder & post order. These tree traversals can be implemented via recursive process and non-recursive process. Binary trees have extensive applications within two way decision making problems that employ true/false, yes/no, etc.
explain the determination of interest rate in the classical system.
Describe different methods of developing algorithms with examples.
The maximum degree of any vertex in a simple graph with n vertices is (n-1) is the maximum degree of the vertex in a simple graph.
What is binary search? Binary search is most useful when list is sorted. In binary search, element present in middle of the list is determined. If key (the number to search)
Explain th term input and output- Pseudocode Input and output indicated by the use of terms input number, print total, output total, print "result is" x and so on.
Data array A has data series from 1,000,000 to 1 with step size 1, which is in perfect decreasing order. Data array B has data series from 1 to 1,000,000, which is in random order.
Algo rithm to Insert a Node p at the End of a Linked List is explained below Step1: [check for space] If new1= NULL output "OVERFLOW" And exit Step2: [Allocate fr
Thus far, we have seen the demonstration of a single queue, but several practical applications in computer science needs several queues. Multi queue is data structure in which mult
Explain the representations of graph. The different ways of representing a graph is: Adjacency list representation : This representation of graph having of an array Adj of
Q. The reason bubble sort algorithm is inefficient is that it continues execution even after an array is sorted by performing unnecessary comparisons. Therefore, the number of comp
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