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Initially Nodes are inserted in an AVL tree in the same manner as an ordinary binary search tree.
Though, the insertion algorithm for any AVL tree travels back along with the path it took to determine the point of insertion & verify the balance at each of node on the path.
If a node is found which is unbalanced (if it contain a balance factor of either -2 or +2) then rotation is performed, depend on the inserted nodes position relative to the node being examined (the unbalanced node).
Adjacency list representation An Adjacency list representation of Graph G = {V, E} contains an array of adjacency lists mentioned by adj of V list. For each of the vertex u?V,
3633(mod 11)
explain the prims''s algorithm with suitable example?
Consistent Heuristic Function - Graph Search Recall the notions of consistency and admissibility for an A* search heuristic. a. Consider a graph with four nodes S, A, B, C,
1. Show the effect of each of the following operations on queue q. Assume that y (type Character) contains the character ‘&’. What are the final values of x and success (type boole
State about the Simple types - Built-In Types Values of the carrier set are atomic, that is, they can't be divided into parts. Common illustrations of simple types are inte
Prove that uniform cost search and breadth- first search with constant steps are optimal when used with the Graph-Search algorithm (see Figure). Show a state space with varying ste
Define the Internal Path Length The Internal Path Length I of an extended binary tree is explained as the sum of the lengths of the paths taken over all internal nodes- from th
Give an algorithm to find both the maximum and minimum of 380 distinct numbers that uses at most 568 comparisons.
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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