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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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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

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Search algorithms are used to retrieve information that's stored in a data source or a collection. The algorithm is given the key of the element in question, and the associated value will be found. Search algorithms return a true or a false Boolean value based on the availability of the information. They can be enhanced to display multiple values related to the search criteria. Different types of search algorithms include linear, binary, and interpolation. These algorithms are categorized by the type of search. Search algorithms include brute force and heuristic methods. The algorithms are chosen for their efficiency. Different factors for choosing these algorithms are as follows:

  • Input type
  • Output type
  • Definiteness
  • Correctness
  • Finiteness
  • Effectiveness
  • Generality

In this section, we will discuss the different types of search algorithms.

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