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  • Book Overview & Buying Java 9 Data Structures and Algorithms
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Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms

By : Debasish Ray Chawdhuri
2.3 (3)
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Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms

2.3 (3)
By: Debasish Ray Chawdhuri

Overview of this book

Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we’ll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!
Table of Contents (13 chapters)
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12
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:

Spanning tree and minimum spanning tree

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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