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A tree is a non-empty set one component of which is designated the root of the tree while the remaining components are partitioned into non-empty groups each of which is a subtree of the root.
Tree nodes have much useful functionality. The depth of a node is the length of the path from the root to that edge. The height of a node is the longest way from that node to its leaves. The length of a tree is the height of the parent node. A parent node has no children -- its only path is up to its parent. Describe the axiomatic development of trees and its rules for more information.
Readjusting for tree modification calls for rotations in the binary search tree. Single rotations are possible in the left or right direction for moving a node to the root position
There are three typical ways of recursively traversing a binary tree. In each of these, the left sub-trees & right sub-trees are visited recursively and the distinguishing feature
write an algorithm on railway reservation system
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)
Q. Write down an algorithm to add an element in the end of the circular linked list. A n s . Algo rithm to Add the Element at the End of Circular Linked Lists
The fundamental element of linked list is a "record" structure of at least two fields. The object which holds the data & refers to the next element into the list is called a node .
* Initialise d & pi* for each vertex v within V( g ) g.d[v] := infinity g.pi[v] := nil g.d[s] := 0; * Set S to empty * S := { 0 } Q := V(g) * While (V-S)
What is complexity of an algorithm? What is the basic relation between the time and space complexities of an algorithm? Justify your answer by giving an example.
Write an algorithm for binary search. What are its limitations? .
Q. Illustrate the steps for converting the infix expression into the postfix expression for the given expression (a + b)∗ (c + d)/(e + f ) ↑ g .
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