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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

Non-Linear Problems

Two main categories of situations that cannot be represented with the help of linear data structures are hierarchical problems and cyclic dependencies. Let's take a closer look at these cases.

Hierarchical Problems

Let's look at a couple of examples that inherently have hierarchical properties. The following is the structure of an organization:

Figure 2.1: Organization structure

Figure 2.1: Organization structure

As we can see, the CEO is the head of the company and manages the Deputy Director. The Deputy Director leads three other officers, and so on.

The data is inherently hierarchical in nature. This type of data is difficult to manage using simple arrays, vectors, or linked lists. To solidify our understanding, let's look at another use case; that is, a university course's structure, as shown in the following figure:

Figure 2.2: Course hierarchy in a university course structure

The preceding figure shows the course dependencies for some courses...

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