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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

Dynamic Programming on Strings and Sequences

So far, our exploration of dynamic programming has primarily focused on combinatorial problems and calculating terms of integer sequences with defined formulae. Now, we will consider another one of DP's most common uses, that is, working with patterns in sequences of data. The most typical scenarios in which a programmer would use DP for this purpose generally concern searching, comparing, and constructing strings.

As software developers, we often work collaboratively with several individuals who all have the ability to make contributions and modifications to the same project. Since the possibility always exists that a programmer may inadvertently introduce a bug into the code, or that the team may try a different approach for a given feature and then decide to return to their original method, it becomes extremely important to have some system of version control. In the event that a feature that was working recently mysteriously develops...

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