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Mastering High Performance with Kotlin
book

Mastering High Performance with Kotlin

by Igor Kucherenko
June 2018
Intermediate to advanced
316 pages
6h 34m
English
Packt Publishing
Content preview from Mastering High Performance with Kotlin

Binary search trees

A binary search tree allows you find, add, and remove items quickly. Each node of this data structure has to be comparable. A typical implementation in Java or Kotlin assumes that a class that is used as a key implements the Comparable interface. To find a key, you have to compare the current node's key. If they are equal, then the root node is the result. If a key is greater than a current node's key, you have to move to a right node. Otherwise, you have to move to a left node.

It is built according to these rules:

  • A binary tree has a root node.
  • The left child node has a value that is less than the value of its parent nodes, and the right node has a value that is greater than the value of its parent nodes:
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Publisher Resources

ISBN: 9781788996648