How Long to Read Dynamic Programming on Trees

How Long Does it Take to Read Dynamic Programming on Trees?

It takes the average reader 2 hours and 23 minutes to read Dynamic Programming on Trees by Ue Kiao

Assuming a reading speed of 250 words per minute. Learn more

Description

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: Introduction to Tree Introduction to Dynamic Programming Dynamic Programming on Tree Practice Problems: Find height of every node of Binary Tree Find diameter of Binary Tree using height of every node Find diameter of N-ary Binary Tree Largest Independent Set in Binary Tree Binary Lifting with kth ancestor Minimum number of nodes to be deleted so that at most k leaves are left Minimum Cost Path in 2D matrix Maximum Cost Path in 2D matrix Maximum average value path in a 2D matrix (Restricted) Minimum average value path in a 2D matrix (Restricted) Count paths from Top Left to Bottom Right of a Matrix Minimum Cost for Triangulation of a Convex Polygon Number of paths with k edges Shortest Path with k edges 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

How long is Dynamic Programming on Trees?

Dynamic Programming on Trees by Ue Kiao is 142 pages long, and a total of 35,784 words.

This makes it 48% the length of the average book. It also has 44% more words than the average book.

How Long Does it Take to Read Dynamic Programming on Trees Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 15 minutes to read Dynamic Programming on Trees aloud.

What Reading Level is Dynamic Programming on Trees?

Dynamic Programming on Trees is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Dynamic Programming on Trees?

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