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Graphs are data structures which consist of a set of vertices & a set of edges which connect the vertices. A graph where the edges are directed is called directed graph. Or else, it is called an undirected graph. Graphs are represented by adjacency lists & adjacency matrices. Graphs can be utilized to represent a road network where the edges are weighted as the distance among the cities. Finding the minimum distance among single source & all other vertices is called single source shortest path problem. Dijkstra's algorithm is utilized to determine shortest path from a single source to every other vertex into a directed graph. Determining shortest path among every pair of vertices is called all pairs shortest paths problem.
A spanning tree of any graph is a tree containing only those edges of the graph that connects all vertices of the graph along with minimum cost. Kruskal's & Prim's algorithms find minimum cost spanning tree into a graph. Visiting all of the nodes in a graph systematically in some manner is called traversal. Two most common methods are depth-first & breadth-first searches.
List various problem solving techniques. There are two techniques:- 1. Top down 2. Bottom- up
Determine the effect of Ruby in implementation of string Ruby has a String class whose instances are mutable sequences of Unicode characters. Symbol class instances are charact
Define the term array. An array is a way to reference a series of memory locations using the same name. Each memory location is represented by an array element. An array eleme
According to this, key value is divided by any fitting number, generally a prime number, and the division of remainder is utilized as the address for the record. The choice of s
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Describe Binary Search Tree (BST)? Make a BST for the given sequence of numbers. 45, 36, 76, 23, 89, 115, 98, 39, 41, 56, 69, 48 Traverse the obtained tree in Preorder, Inord
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A binary tree in which if all its levels except possibly the last, have the maximum number of nodes and all the nodes at the last level appear as far left as possible, is called as
Q. Explain that how do we implement two stacks in one array A[1..n] in such a way that neither the stack overflows unless the total number of elements in both stacks together is n.
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