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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.
Q. Execute your algorithm to convert the infix expression to the post fix expression with the given infix expression as input Q = [(A + B)/(C + D) ↑ (E / F)]+ (G + H)/ I
bfs and dfs
an electrical student designed a circuit in which the impedence in one part of a series circuit is 2+j8 ohms and the impedent is another part of the circuit is 4-j60 ohm mm program
state difference between linear and non linear data structure. give one example scenario of each
how to learn about time complexity of a particular algorithm
implement multiple stacks ina single dimensional array. write algorithams for various stack operation for them.
solve the following relation by recursive method: T(n)=2T(n^1/2)+log n
for(int i = 0; i for (int j = n - 1; j >= i ; j--){ System.out.println(i+ " " + j);
Construct a B+ tree for the following keys, starting with an empty tree. Each node in the tree can hold a maximum of 2 entries (i.e., order d = 1). Start with an empty root nod
Merge sort is also one of the 'divide & conquer' classes of algorithms. The fundamental idea in it is to split the list in a number of sublists, sort each of these sublists & merge
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