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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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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

Spanning tree and minimum spanning tree


A spanning tree in a connected graph is a subgraph consisting of all the vertices and some edges. So, a subgraph is a tree; it is a connected graph with no loops or cycles. Figure 5 shows an example of a spanning tree in a graph:

Figure 5. A spanning tree of a graph (shown in red)

A tree has minimum number of edges required to keep the vertices connected. Removing any edge from a tree will disconnect the graph. This can be useful in a map of roads that connect different places and has a minimal number of roads. With this motivation, we would really be interested in a spanning tree that has a minimum total length of roads. This may be important because constructing roads is a costly affair. Alternatively, we could design a bus route map for a city and have all the important places connected without creating too many routes; also, shorter routes are better. Such a spanning tree is called a minimum spanning tree. Finding a minimum spanning tree is an important...

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