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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
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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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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

The Knapsack Problem

Now, let's reconsider the knapsack problem we looked at in Chapter 5, Greedy Algorithms, which we could describe as the subset sum problem's "big brother." It asks the following:

"Given a knapsack of limited capacity and a collection of weighted items of different values, what set of items can be contained within the knapsack that produces the greatest combined value without exceeding the capacity?"

This problem is also a characteristic example of NP-completeness, and as such, it shares many close ties to the other problems in this class.

Consider the following example:

Capacity —> 10 

Number of items —> 5

Weights —> { 2, 3, 1, 4, 6 } 

Values —>  { 4, 2, 7, 3, 9 }

With this data, we can produce the following subsets:

Figure 9.2: All possible subsets for the given 0-1 knapsack problem
Figure 9.2: All possible subsets for the given...
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