Dynamic Programming on Trees

This book "Dynamic Programming on Trees" is a deep dive into applying Dynamic Programming technique on Tree Data Structure based problems. On completing this book, you will have these core skills:

• Strong hold on Dynamic Programming on Trees
• Easily solve Dynamic Programming problems in Coding Interview

Best approach to go through this book:

• Master the basics (Part 1): This part introduces you to the basics of Tree Data Structure, Dynamic Programming (DP) and how DP can be applied on Tree. Having a strong hold in this part helps you to visualize solutions.
• Practice Problems on Tree DP (Part 2): Practice is a key to success for Coding Interviews, Competitive Programming and Efficient Problem Solving. Practice one problem everyday by implementing the solution on your own.
• Practice Problems on Graph DP (Part 3): Tree is a restricted version of a Graph and problems in this section will take you to the next level. You will view Trees and Graphs differently.

Table of contents:

1. Introduction to Tree
2. Introduction to Dynamic Programming
3. Dynamic Programming on Tree
4. Practice Problems:
5. Find height of every node of Binary Tree
6. Find diameter of Binary Tree using height of every node
7. Find diameter of N-ary Binary Tree
8. Largest Independent Set in Binary Tree
9. Binary Lifting with kth ancestor
10. Minimum number of nodes to be deleted so that at most k leaves are left
11. Minimum Cost Path in 2D matrix
12. Maximum Cost Path in 2D matrix
13. Maximum average value path in a 2D matrix (Restricted)
14. Minimum average value path in a 2D matrix (Restricted)
15. Count paths from Top Left to Bottom Right of a Matrix
16. Minimum Cost for Triangulation of a Convex Polygon
17. Number of paths with k edges
18. Shortest Path with k edges
19. Vertex Cover Problem

Get started with this book and change the equation of your career.

Book: Dynamic Programming on Trees
Authors (2): Aditya Chatterjee, Ue Kiao
Published: January 2022 (Edition 1)
Publisher: OpenGenus