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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 2. Trees, Heaps, and Graphs FREE CHAPTER 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

Reconsidering the Subset Sum Problem

In the previous chapter, we discussed the subset sum problem, which we saw possessed exponential complexity in the worst cases. Let's consider the two ways this problem can be expressed – in terms of the relative difficulty of finding a solution and verifying the validity of a solution.

Let's consider the problem of verifying the validity of a solution:

Set    —> { 2 6 4 15 3 9 }

Target —> 24

Subset —> { 2 6 4 }

Sum = 2 + 6 + 4 = 12 

FALSE

Subset —> { 2 6 15 3 }

Sum = 2 + 6 + 15 + 3 = 24

TRUE

Subset —> { 15 9 }

Sum = 15 + 9 = 24

TRUE

Subset —> { 6 4 3 9 }

Sum = 6 ...

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