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Q. What do you understand by the term Binary Tree? What is the maximum number of nodes which are possible in a Binary Tree of depth d. Explain the terms given below with respect to the Binary trees 1)Strictly Binary Tree 2) Complete Binary Tree 3) Almost Complete Binary Tree
Ans:
A binary tree is a tree in which no nodes can posses' more than two children.
Figure drawn below shows us that the binary tree consists of the root and two subtrees, Tl and Tr, both of which could possibly be empty.
The highest numbers of nodes a binary tree of depth d can have is 2 d+1-1.
(i) Strictly Binary Tree:- If every non leaf node in binary tree has neither the left tree nor the right tree empty subtrees , then the tree is known as a strictly binary tree.
(ii) Complete Binary Tree:- The complete binary tree of depth d is that strictly binary tree whose all the leaves are at level D.
(iii) Almost Complete Binary Tree:- The binary tree of depth d is an almost complete binary tree if and only if: 1.Any node end at level less than d-1 has two children. 2. for any node nd in the tree with
(iv) a right descendant at the level d, nd should have a left child and every descendant of the nd is either a leaf at level d or has two children.
A list item stores pointers and an element to predecessor and successor. We call a pointer to a list item a handle . This looks simple enough, but pointers are so powerful tha
Program will demonstrate deletion of an element from the linear array /* declaration of delete_list function */ voiddelete_list(list *, int); /* definition of delete_list
for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
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A LGORITHM (Deletion of an element from the linked list) Step 1 Begin Step 2 if the list is empty, then element cannot be deleted Step 3 else, if the element to be del
/* the program accepts two polynomials as a input & prints the resultant polynomial because of the addition of input polynomials*/ #include void main() { int poly1[6][
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Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
write an algorithm for multiplication of two sparse matrices using Linked Lists
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