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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

Prim's MST Algorithm

The MST problem was introduced in Chapter 5, Greedy Algorithms, and is defined as follows:

"Given a graph, G = < V, E >, where V is the set of vertices and E is the set of edges, each associated with an edge weight, find a tree, T, that spans all vertices in V and has the minimum total weight."

In Chapter 5, Greedy Algorithm, we discussed the practical applications of the MST problem and Kruskal's algorithm, which finds an MST in a given graph. Kruskal's algorithm adds all the edges of the graph to a min-heap and greedily adds minimum-cost edges to MST, checking that no cycles are formed in the tree on each addition.

The idea behind Prim's algorithm (also known as Jarvik's algorithm) is similar to that of BFS. The algorithm starts by adding the starting vertex to a frontier, which consists of the set of previously visited vertices and then iteratively explores the vertices adjacent to the current frontier. However, while choosing...

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