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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Toc

Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? 2. Building Blocks FREE CHAPTER 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Comparing trees


How do we compare two trees to know whether they are equal or not? Note that the trees could have the same values but could differ structurally.

The diagram shows two complete binary trees. However, as shown, these two are not equal.

To check this, we need to traverse both the trees at the same time. How could we perform this traversal? Of course, we do this using a tuple match:

  scala>   def equal[A](tree1: BinTree[A], tree2: BinTree[A]): Boolean = (tree1, 
     |     tree2) match { 
     |     case (Leaf, Leaf) => true 
     |     case (Branch(v1, l1, r1), Branch(v2, l2, r2)) if v1 == v2 => 
     |       equal(l1, l2) && equal(r1, r2) 
     |     case _ => false 
     |   } 
scala>  val tree1 = buildTree(List(1,2,3,4,5,6,7)) 
tree1: BinTree.BinTree[Int] = Branch(1,Branch(2,Branch(3,Leaf,Leaf),Branch(4,Leaf,Leaf)),Branch(5,Branch(6,Leaf,Leaf),Branch(7,Leaf,Leaf))) 
 
scala>  val tree2 = buildTree(List(1,2,3,4,5,7,6)) 
tree2: BinTree.BinTree[Int...
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