Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
C# Data Structures and Algorithms

You're reading from   C# Data Structures and Algorithms Harness the power of C# to build a diverse range of efficient applications

Arrow left icon
Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803248271
Length 372 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Marcin Jamro Marcin Jamro
Author Profile Icon Marcin Jamro
Marcin Jamro
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Data Types 2. Chapter 2: Introduction to Algorithms FREE CHAPTER 3. Chapter 3: Arrays and Sorting 4. Chapter 4: Variants of Lists 5. Chapter 5: Stacks and Queues 6. Chapter 6: Dictionaries and Sets 7. Chapter 7: Variants of Trees 8. Chapter 8: Exploring Graphs 9. Chapter 9: See in Action 10. Chapter 10: Conclusion 11. Index 12. Other Books You May Enjoy

Closest pair of points

Another example is an algorithm to find the closest pair of points located on the two-dimensional surface. It is an interesting algorithmic problem that can be solved using the divide-and-conquer paradigm.

Each point is represented by x and y coordinates, with values starting from (0, 0) in the top-left corner of the surface. To find the closest pair of points, you first sort all points according to the x coordinate, as shown in the following diagrams, marked from A to N:

Figure 9.3 – Diagrams of the algorithm to find the closest pair of points

Figure 9.3 – Diagrams of the algorithm to find the closest pair of points

Then, you divide the surface into two halves. You can do this by calculating half of the points count, namely 7 in our example, and taking the first 7 points as the left half and the next 7 points as the right half.

Here is a task for recursion, so you recursively find the closest points in both halves and store data as rl (points D and E) and rr (points I and K). You choose the...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime