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Learn Data Structures and Algorithms with Golang

You're reading from   Learn Data Structures and Algorithms with Golang Level up your Go programming skills to develop faster and more efficient code

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789618501
Length 336 pages
Edition 1st Edition
Languages
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Author (1):
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Bhagvan Kommadi Bhagvan Kommadi
Author Profile Icon Bhagvan Kommadi
Bhagvan Kommadi
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Data Structures and Algorithms and the Go Language FREE CHAPTER
2. Data Structures and Algorithms 3. Getting Started with Go for Data Structures and Algorithms 4. Section 2: Basic Data Structures and Algorithms using Go
5. Linear Data Structures 6. Non-Linear Data Structures 7. Homogeneous Data Structures 8. Heterogeneous Data Structures 9. Dynamic Data Structures 10. Classic Algorithms 11. Section 3: Advanced Data Structures and Algorithms using Go
12. Network and Sparse Matrix Representation 13. Memory Management 14. Next Steps 15. Other Books You May Enjoy

Network representation using graphs

A graph is a representation of a set of objects that's connected by links. The links connect vertices, which are points. The basic operations on a graph are the addition and removal of links and vertices. These are some different types of graphs:

  • Directed graph
  • Non-directed graph
  • Connected graph
  • Non-connected graph
  • Simple graph
  • Multi-graph

An adjacency list consists of adjacent vertices of a graph that have objects or records. An adjacency matrix consists of source and destination vertices. An incidence matrix is a two-dimensional Boolean matrix. The matrix has rows of vertices and columns that represent the links (edges).

Network representation using a graph is shown in the following code. A social graph consists of an array of links:

///main package has examples shown
// in Go Data Structures and algorithms book
package main

// importing...
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