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Java 9 Data Structures and Algorithms

You're reading from   Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Bother? – Basic FREE CHAPTER 2. Cogs and Pulleys – Building Blocks 3. Protocols – Abstract Data Types 4. Detour – Functional Programming 5. Efficient Searching – Binary Search and Sorting 6. Efficient Sorting – quicksort and mergesort 7. Concepts of Tree 8. More About Search – Search Trees and Hash Tables 9. Advanced General Purpose Data Structures 10. Concepts of Graph 11. Reactive Programming Index

Finding the minimum spanning tree

With the properties we just discussed, we can now define an algorithm for finding the minimum spanning tree of a graph. Suppose a set of edges F is already given and they are members of the minimum spanning tree G. Now we are trying to find another edge that is also a member of the minimum spanning tree. First, we choose an edge e whose cost is minimum when compared to the rest of the edges, E and F in this case. Since some of the edges are already given, some of the vertices are already connected. If the chosen edge e is between two vertices that are already connected, we simply reject this edge and find the next edge with minimum cost. We do this until we find an edge f between two vertices that are not already connected. Our claim is that f is a new member of the minimum spanning tree. To confirm this, let's assume that f is between the vertices A and B. From the description of our procedure, A and B are not connected. Let's make two partitions...

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