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C++ Data Structures and Algorithm Design Principles

You're reading from   C++ Data Structures and Algorithm Design Principles Leverage the power of modern C++ to build robust and scalable applications

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781838828844
Length 626 pages
Edition 1st Edition
Languages
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Authors (4):
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Anil Achary Anil Achary
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Anil Achary
John Carey John Carey
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John Carey
Payas Rajan Payas Rajan
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Payas Rajan
Shreyans Doshi Shreyans Doshi
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Shreyans Doshi
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Toc

Table of Contents (11) Chapters Close

About the Book 1. Lists, Stacks, and Queues FREE CHAPTER 2. Trees, Heaps, and Graphs 3. Hash Tables and Bloom Filters 4. Divide and Conquer 5. Greedy Algorithms 6. Graph Algorithms I 7. Graph Algorithms II 8. Dynamic Programming I 9. Dynamic Programming II 1. Appendix

Introduction

In the previous chapter, we implemented different types of linear data structures to store and manage data in a linear fashion. In linear structures, we can traverse in, at most, two directions – forward or backward. However, the scope of these structures is very limited, and they can't be used to solve advanced problems. In this chapter, we'll explore a more advanced class of problems. We will see that the solutions we implemented previously are not good enough to be used directly. Due to this, we'll expand upon those data structures to make more complex structures that can be used to represent non-linear data.

After looking at these problems, we'll discuss basic solutions using the tree data structure. We'll implement different types of trees to solve different kinds of problems. After that, we'll have a look at a special type of tree called a heap, as well as its possible implementation and applications. Following that, we'll look...

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