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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
Author Profile Icon Shreyans Doshi
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 studied some commonly used data structures. Data structures are organizations of data in different forms, and a data structure enables and controls the cost of access to the data stored inside it. However, what makes software useful is not just the ability to store and retrieve data in various formats, but the ability to make transformations on data in order to solve computational problems. For a given problem, the precise definition and order of transformations on data is determined by a sequence of instructions called an algorithm.

An algorithm takes in a set of inputs that define an instance of a problem, applies a series of transformations, and outputs a set of results. If these results are the correct solutions to the computational problem at hand, our algorithm is said to be correct. The goodness of an algorithm is determined by its efficiency, or how few instructions the algorithm needs to perform to produce correct results:

Figure 4.1: Scaling of steps taken by an algorithm with respect to the size of the input
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