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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

The Bellman-Ford Algorithm (Part II) – Negative Weight Cycles

Consider the graph shown in the following figure:

Figure 7.2: Graph with a negative weight cycle

The edges highlighted in red indicate a negative weight cycle or a cycle in the graph where the combined edge weights produce a negative sum. In such a situation, this cycle would be considered repeatedly, and the final results would be skewed.

For the sake of comparison, consider a graph with only positive edge weights. A cycle in such a graph would never be considered in the solution because the shortest distance to the first node in the cycle would have been found already. To demonstrate this, imagine that the edge weight between nodes B and D in the preceding figure is positive. Starting from node A, the first iteration through the edges would determine that the shortest distance to node B is equal to 3. After two more iterations, we would also know the shortest distance from A to C (A —> B &...

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