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Data Structure Articles
Page 32 of 164
Find the array to which each element in given queries belong along with count of elements
Introduction In the world of programming, arrays play a fundamental role and are extensively used in various applications. Often, while working with large arrays, we come across situations where we need to determine to which array each element in each set of queries belongs. In this article, we will explore an efficient approach using C++ to find the corresponding array for each query along with the count of elements. The task at hand is to identify which array each query element belongs to and generate a count for those specific arrays. Find the array to which each element in given ...
Read MoreConstruct a Prime Binary Tree from given non-cyclic graph of N indices
Introduction In the area of programming and data structures, binary trees are widely used to store and retrieve data efficiently. In this article, we will explore the concept of constructing a prime binary tree from a given non-cyclic graph consisting of N indices using C++ code. The Binary tree can be constructed from the non-cyclic graph and the types of this graph are tree, directed acyclic graph and some more. A prime tree comes under the division of binary tree which returns the prime number by appending the two consecutive edges of the graph. Construct a Prime Binary Tree from ...
Read MoreJava Program to Find Maximum number of 0s placed consecutively at the start and end in any rotation of a Binary String
In this problem, we will write Java code to find the maximum sum of consecutive zeros at the start and end of any string rotation. First, we will use a naïve approach to solve the problem, which generates all rotations of the binary string and counts the starting and ending consecutive zeros. After that, we will learn an optimized algorithm that counts the maximum consecutive zeros. Problem statement – Here, we have a string of size N containing only 0 and 1 characters. We need to find the maximum sum of consecutive zeros at the start and end of any ...
Read MoreDifference between the shortest and second shortest path in an Unweighted Bidirectional Graph
Introduction In the area of graph theory, unweighted bidirectional graphs form a fundamental framework for modeling various real-world scenarios. These graphs allow us to explore relationships between different entities, such as road networks or social connections. One key aspect that captures our attention is finding paths between two nodes and determining their respective lengths. In this article, we dive into one interesting facet of this topic – understanding the distinction between the shortest path and second shortest path in an unweighted bidirectional graph. Shortest and second shortest path Unweighted bidirectional (or undirected) graphs consist of vertices or nodes connected by ...
Read MoreCount of distinct groups of strings formed after performing equivalent operation
Introduction In computer programming, solving problems often requires us to manipulate strings effectively while accounting for their diversity. One interesting challenge is to determine the count of distinct groups that can be formed after performing equivalent operations on a given set of strings. In this article, we will explore an efficient approach using C++ code to tackle this problem and unlock new possibilities. By employing key algorithmic steps such as group identification, formation, and computation, programmers can effectively tackle challenges related to manipulating diverse sets of strings while maintaining their unique properties. Count of distinct groups of strings formed after ...
Read MoreWhy does Dijkstra\'s Algorithm fail on negative weights?
Introduction Dijkstra's algorithm could be a broadly utilized graph traversal algorithm that finds the shortest way between two vertices in a graph. It is effective and ensures ideal comes about when connected to graphs with non-negative weights. In any case, when negative weights are presented, Dijkstra's algorithm comes up short to produce rectify comes about. In this article, we'll investigate the reasons behind this disappointment and discuss three distinctive approaches to handling negative weights in graphs using C language. We'll give a step-by-step clarification of each approach, in conjunction with the comparing code and outputs. Understanding Dijkstra's Algorithm Dijkstra's algorithm ...
Read MoreFind Maximum Shortest Distance in Each Component of a Graph
Introduction In C language, finding the most extreme briefest separate in each component of a chart may be a vital assignment. The chart is spoken to utilizing a contiguousness list or lattice. By utilizing Breadth-First Search (BFS) or Depth-First Look (DFS), we will compute the most limited separations from each hub to all other hubs inside a component. To get the most extreme most brief separate in each component, we emphasize through the components and keep up a running most extreme. At last, we yield the comes about for each component. This productive calculation permits us to analyze complex systems, ...
Read MoreCount the number of nodes in a Graph whose sum of neighbours is at most K
Introduction Undirected graphs are an essential component of computer science and graph theory, representing a set of vertices connected by edges without any directionality. One common problem associated with undirected graphs is the counting the number of nodes in a graph whose sum of neighbours is at most K. In computer science, the graph theory field will deal with the connection between the elements in the given matrix. Usually the graphs consists of the elements namely the edges and the nodes. Count the number of nodes in a Graph The Graph that is exclusively used is the undirected graph in ...
Read MoreDifference between Minimum Spanning Tree and Shortest Path
Introduction The Minimum Spanning tree and the shortest tree plays a vital role in the field of graph theory to design the networks. While they share similarities as fundamental concepts, their purposes diverge significantly. In this article, we will dive into these two interesting elements within graphs and highlight their differences. MSTs aim at establishing minimal-cost connectivity among all vertices of a graph without loops, while shortest paths target identifying optimal routes between specific nodes in terms of distance or weight accumulation. Difference between Minimum Spanning Tree and shortest Path Graph theory offers various tools for analyzing connections and pathways ...
Read MoreGraph Homomorphism
Introduction Graph homomorphism may be a crucial concept in chart hypothesis and computational science. Within the setting of C dialect, a chart homomorphism may be a mapping between two charts that jam the contiguousness connections between their vertices. It is frequently spoken to as a work that allocates vertices from one chart to vertices in another, whereas keeping up the edges between them. This concept empowers the consideration and examination of basic similitudes and associations between distinctive charts. By executing chart homomorphism in C, software engineers can investigate different applications, such as chart coordinating, chart coloring, and chart isomorphism testing, ...
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