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An interesting application or implementation of trees is the playing of games such as tie-tac-toe, chess, nim, kalam, chess, go etc.
We can depict the sequence of possible moves by mean of a game tree in which the root signifies the initial situation and the branches from the root signifies the legal moves that the first player could make. At the next level down, the branches corresponds to the legal move by the second player in condition and so on, with branches from vertices at even levels signifying the moves by the 1st player and from the vertices at odd levels depicting the moves by the 2nd player.
Eg. Tic-tac-toe
The location of a node in a binary search tree is defined as a string such as LLRRL, which represents the node that you find by starting at the root, and traversing Left, traverse
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The objective analysis of an algorithm is to determine its efficiency. Efficiency is based on the resources which are used by the algorithm. For instance, CPU utilization (Ti
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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
In this unit, we discussed Binary Search Trees, AVL trees and B-trees. The outstanding feature of Binary Search Trees is that all of the elements of the left subtree of the root
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Binary tree creation struct NODE { struct NODE *left; int value; struct NODE *right; }; create_tree( struct NODE *curr, struct NODE *new ) { if(new->val
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