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The Complete Coding Interview Guide in Java

You're reading from   The Complete Coding Interview Guide in Java An effective guide for aspiring Java developers to ace their programming interviews

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212062
Length 788 pages
Edition 1st Edition
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Author (1):
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Anghel Leonard Anghel Leonard
Author Profile Icon Anghel Leonard
Anghel Leonard
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Table of Contents (25) Chapters Close

Preface 1. Section 1: The Non-Technical Part of an Interview
2. Chapter 1: Where to Start and How to Prepare for the Interview FREE CHAPTER 3. Chapter 2: What Interviews at Big Companies Look Like 4. Chapter 3: Common Non-Technical Questions and How To Answer Them 5. Chapter 4: How to Handle Failures 6. Chapter 5: How to Approach a Coding Challenge 7. Section 2: Concepts
8. Chapter 6: Object-Oriented Programming 9. Chapter 7: Big O Analysis of Algorithms 10. Chapter 8: Recursion and Dynamic Programming 11. Chapter 9: Bit Manipulation 12. Section 3: Algorithms and Data Structures
13. Chapter 10: Arrays and Strings 14. Chapter 11: Linked Lists and Maps 15. Chapter 12: Stacks and Queues 16. Chapter 13: Trees and Graphs 17. Chapter 14: Sorting and Searching 18. Chapter 15: Mathematics and Puzzles 19. Section 4: Bonus – Concurrency and Functional Programming
20. Chapter 16: Concurrency 21. Chapter 17: Functional-Style Programming 22. Chapter 18: Unit Testing 23. Chapter 19: System Scalability 24. Other Books You May Enjoy

Chapter 8: Recursion and Dynamic Programming

This chapter covers one of the favorite topics of interviewers: Recursion and Dynamic Programming. Both work hand in hand, so you must be able to cover both. Commonly, the interviewer expects to see a plain recursive solution. However, they may ask you to provide some optimization hints or even to code an optimized version of your code. In other words, your interviewer will want to see Dynamic Programming at work.

In this chapter, we will cover the following topics:

  • Recursion in a nutshell
  • Dynamic Programming in a nutshell
  • Coding challenges

By the end of this chapter, you will be able to implement a wide range of recursive algorithms. You'll have a significant number of recursive patterns and approaches you can use to recognize and implement recursive algorithms in minutes in your toolbelt. Let's start with the first topic of our agenda: recursion.

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