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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.
Q. Explain any three methods or techniques of representing polynomials using arrays. Write which method is most efficient or effective for representing the following polynomials.
A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
: Write an algorithm to evaluate a postfix expression. Execute your algorithm using the following postfix expression as your input: a b + c d +*f .
Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?
Build a class ?Node?. It should have a ?value? that it stores and also links to its parent and children (if they exist). Build getters and setters for it (e.g. parent node, child n
Q. Consider the specification written below of a graph G V(G ) = {1,2,3,4} E(G ) = {(1,2), (1,3), (3,3), (3,4), (4,1)} (i) Draw the undirected graph. (
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Explain the term- Dry running of flowcharts Dry running of flowcharts is essentially a technique to: Determine output for a known set of data to check it carries out th
Q. Give the adjacency matrix for the graph drawn below: Ans: Adjacency matrix for the graph given to us
ST AC K is explained as follows : A stack is one of the most usually used data structure. A stack is also called a Last-In-First-Out (LIFO) system, is a linear list in
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