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Explain Optimal Binary Search Trees
One of the principal application of Binary Search Tree is to execute the operation of searching. If probabilities of searching for elements of a set are called, it is natural to pose a question about an optimal binary search tree for which the average number of comparisons in a search is the smallest possible.
Define Minimum Spanning Tree A minimum spanning tree of a weighted linked graph is its spanning tree of the smallest weight, where the weight of a tree is explained as the sum
algorithms
I =PR/12 Numbers of years .Interest rate up to 1yrs . 5.50 up to 5yrs . 6.50 More than 5 yrs . 6.75 design an algorithm based on the above information
A full binary tree with 2n+1 nodes have n non-leaf nodes
A graph with n vertices will absolutely have a parallel edge or self loop if the total number of edges is greater than n-1
A representation of an array structure is a mapping of the (abstract) array with elements of type T onto the store which is an array with elements of type BYTE. The array could be
Searching is the procedure of looking for something. Searching a list containing 100000 elements is not the similar as searching a list containing 10 elements. We discussed two sea
An AVL tree is a binary search tree that has the given properties: The sub-tree of each of the node differs in height through at most one. Each sub tree will be an AVL tre
* Initialise d & pi* for each vertex v within V( g ) g.d[v] := infinity g.pi[v] := nil g.d[s] := 0; * Set S to empty * S := { 0 } Q := V(g) * While (V-S)
Q. Write down the algorithm to insert an element to a max-heap which is represented sequentially. Ans: The algorithm to insert an element "newkey" to
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