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Full Binary Trees: A binary tree of height h that had 2h -1 elements is called a Full Binary Tree.
Complete Binary Trees: A binary tree whereby if the height is d, and all of levels, except perhaps level d, are totally full. If the bottom level is incomplete, then it contains all nodes to the left side. That is the tree has been filled into the level order from left to right.
How can we convert a graph into a tree ? Do we have any standardized algorithm for doing this?
Circular Queues:- A more efficient queue representation is get by regarding the array Q(1:n) as circular. It becomes more convenient to declare the array as Q(O: n-1), when re
Ask question find frequency count of function- {for(i=1;i {for(j=1;j {for(k=1;k } } }
a) Given a digraph G = (V,E), prove that if we add a constant k to the length of every arc coming out from the root node r, the shortest path tree remains the same. Do this by usin
#include #include int sumFact(int numb); int calculateFactorial(int digit); main() { int numb, sumfact; do{ printf ("Enter a number 1 to 9999\n"); scanf("%
The complexity of multiplying two matrices of order m*n and n*p is mnp
For the Oscillating sort to be applied, it is necessary for the tapes to be readable in both directions and able to be quickly reversed. The oscillating sort is superior to the po
Q. In the given figure find the shortest path from A to Z using Dijkstra's Algorithm. Ans: 1. P=φ; T={A,B,C,D,E,F,G,H,I,J,K,L,M,Z} Let L(A)
Explain an efficient method of storing a sparse matrix in memory. Write a module to find the transpose of the sparse matrix stored in this way. A matrix which contains number o
Define tractable and intractable problems Problems that can be solved in polynomial time are known as tractable problems, problems that cannot be solved in polynomial time are
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