You're reading from High Performance with Java Discover strategies and best practices to develop high performance Java applications

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835469736

Length 306 pages

Edition 1st Edition

Languages

Java

Tools

Java EE

Concepts

Data Structures and Algorithms

Author (1):

Dr. Edward Lavieri Jr.

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Table of Contents (26) Chapters

Preface

1. Part 1: Code Optimization FREE CHAPTER

2. Chapter 1: Peeking Inside the Java Virtual Machine

3. Chapter 2: Data Structures

4. Chapter 3: Optimizing Loops

5. Chapter 4: Java Object Pooling

6. Chapter 5: Algorithm Efficiencies

7. Part 2: Memory Optimization and I/O Operations

8. Chapter 6: Strategic Object Creation and Immutability

9. Chapter 7: String Objects

10. Chapter 8: Memory Leaks

11. Part 3: Concurrency and Networking

12. Chapter 9: Concurrency Strategies and Models

13. Chapter 10: Connection Pooling

14. Chapter 11: Hypertext Transfer Protocols

15. Part 4: Frameworks, Libraries, and Profiling

16. Chapter 12: Frameworks for Optimization

17. Chapter 13: Performance-Focused Libraries

18. Chapter 14: Profiling Tools

19. Part 5: Advanced Topics

20. Chapter 15: Optimizing Your Database and SQL Queries

21. Chapter 16: Code Monitoring and Maintenance

22. Chapter 17: Unit and Performance Testing

23. Chapter 18: Leveraging Artificial Intelligence (AI) for High-Performance Java Applications

24. Index

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Algorithm Efficiencies

Developers focused on ensuring their Java applications perform at a high level must consider the efficiency of individual algorithms. We do not judge an algorithm’s efficiency by its lines of code; rather, we make this judgment after analyzing test results.

This chapter is intended to help you learn how to choose the right algorithm for any given requirement. It also covers the concept of time complexity to include strategies for reducing time complexity. We will also focus on lean and efficient code. This chapter also emphasizes the importance of algorithm testing.

This chapter covers the following main topics:

Algorithm selection
Low time complexity
Testing algorithms for efficiency

By the end of this chapter, you should have a strong theoretical understanding of algorithm efficiencies as well as hands-on experience creating and modifying algorithms. This experience can help ensure you get high performance out of your Java...