Your task for this assignment is to identify a spanning tree in a connected undirected weighted graph using C++. 1. 2. 3. Implement a spanning tree algorithm using C++. A spanning tree is an acyclic spanning subgraph of the of a connected undirected weighted graph. Your program will be interactive. Graph edges with respective weights (i.e., v1 v2 w) are entered at the command line and results are displayed on the console. Each input transaction represents an undirected edge of a connected weighted graph. The edge consists of two unequal uppercase letters representing graph vertices that the edge connects. Each edge has an assigned weight. The edge weight is a positive integer in the range 1 to 99. The three values on each input transaction are separated by a single space. An input transaction containing the string "end-of-file" signals the end of the graph edge input. After the edge information is read, the spanning tree evaluation process begins. Use an adjacency matrix for recording input edges and show all code used to determine the spanning tree. The input data is assumed to be valid. There is no need to perform data validation on the input data. After the edges of the spanning tree are determined, the tree edges are displayed on the console, one edge per output line, following the message: "Spanning tree:". Each output line representing a tree edge contains edge vertices separated by space. Sample input transactions are as follows: AB2 AC4 AD 10 AE6 BC3 BD8 BE1 CD 55 CE7 DE9 end-of-file Sample output expected after processing the above input will be as follows: 1
Your task for this assignment is to identify a spanning tree in a connected undirected weighted graph using C++. 1. 2. 3. Implement a spanning tree algorithm using C++. A spanning tree is an acyclic spanning subgraph of the of a connected undirected weighted graph. Your program will be interactive. Graph edges with respective weights (i.e., v1 v2 w) are entered at the command line and results are displayed on the console. Each input transaction represents an undirected edge of a connected weighted graph. The edge consists of two unequal uppercase letters representing graph vertices that the edge connects. Each edge has an assigned weight. The edge weight is a positive integer in the range 1 to 99. The three values on each input transaction are separated by a single space. An input transaction containing the string "end-of-file" signals the end of the graph edge input. After the edge information is read, the spanning tree evaluation process begins. Use an adjacency matrix for recording input edges and show all code used to determine the spanning tree. The input data is assumed to be valid. There is no need to perform data validation on the input data. After the edges of the spanning tree are determined, the tree edges are displayed on the console, one edge per output line, following the message: "Spanning tree:". Each output line representing a tree edge contains edge vertices separated by space. Sample input transactions are as follows: AB2 AC4 AD 10 AE6 BC3 BD8 BE1 CD 55 CE7 DE9 end-of-file Sample output expected after processing the above input will be as follows: 1
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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