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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

Dijkstra's Shortest Path Algorithm

The single-source shortest path problem on a graph is solved every time a user requests a route on a route planning application such as Google Maps or in the navigation software built into cars. The problem is defined as follows:

"Given a directed graph, G - < V, E > where V is the set of vertices and E is the set of edges, each of which is associated with an edge weight, a source vertex, and a destination vertex, find a minimum-cost path from a source to a destination."

Dijkstra's algorithm works for graphs with non-negative edge weights and is only a slight modification of Prim's MST algorithm, with two major changes:

  • Instead of setting labels on every vertex equal to the minimum distance from the frontier, Dijkstra's algorithm sets the labels on each vertex with the distance equal to the total distance of the vertex from the source.
  • Dijkstra's algorithm terminates if the destination vertex is popped from...
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