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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

Cycle detection


One of the uses of a traversal is cycle detection. A connected undirected graph without any cycle is a tree. A directed graph without any cycle is called a directed acyclic graph (DAG). Cycle detection in graphs can be done in a very similar manner. In the case of an undirected graph, if we do a DFS and the same node is visited twice as the target of an edge, there is a cycle. Since the edge is undirected, we are satisfied if either the source or the target has not been seen before.

In the case of a directed graph, visiting the same node twice is not enough if you want to know whether there is a cycle; we should also consider the direction of the edges. This means while traversing the edges, we need to know whether we can reach the same node we started with. This requires us to remember the entire path while doing a DFS. This is why we use a recursive helper method to detect a cycle in a directed graph. We create the helper method for the directed cycle first. The checkDirectedCycleFromVertex...

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