Quick Recursion
eBook - ePub

Quick Recursion

  1. 160 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Quick Recursion

Book details
Table of contents
Citations

About This Book

Recursion is the best tool for working with trees and graphs. But perhaps you've studied recursion and decided it's too complicated. You just can't think that way. That limits the kind of programming you can do.

Good news! Recursion is actually easy. It's just badly taught.

See, many instructors talk about how the computer does it. They go on and on about what happens at each level of the recursion and how each level relates to other levels. The problem is that you can't think in multiple levels. Nobody can. And you don't have to.

This book will show you how you can write recursive programs. Once you understand a few simple rules, you will wonder why you ever thought recursion was complicated. You'll be able to write recursive programs quickly and easily.

Well, as quick and easy as programming ever is, anyway.

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Yes, you can access Quick Recursion by David Matuszek in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
ISBN
9781000838749
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Author
  8. Preface
  9. Chapter 1 ■ Understanding Recursion
  10. Chapter 2 ■ Data Structures
  11. Chapter 3 ■ Backtracking
  12. Afterword
  13. Appendix A: Quicksort in Java
  14. Appendix B: Quicksort in Python
  15. Appendix C: Binary Tree Search in Java
  16. Appendix D: Binary Tree Search in Python
  17. Appendix E: Java Debugging
  18. Appendix F: Python Debugging
  19. Appendix G: Frog Puzzle in Java
  20. Appendix H: Frog Puzzle in Python
  21. Appendix I: Map Coloring in Java
  22. Appendix J: Map Coloring in Python
  23. Appendix K: Lists in Python
  24. Appendix L: Trees in Java
  25. Index