Book Image

Java Coding Problems - Second Edition

By : Anghel Leonard
Book Image

Java Coding Problems - Second Edition

By: Anghel Leonard

Overview of this book

The super-fast evolution of the JDK between versions 12 and 21 has made the learning curve of modern Java steeper, and increased the time needed to learn it. This book will make your learning journey quicker and increase your willingness to try Java’s new features by explaining the correct practices and decisions related to complexity, performance, readability, and more. Java Coding Problems takes you through Java’s latest features but doesn’t always advocate the use of new solutions — instead, it focuses on revealing the trade-offs involved in deciding what the best solution is for a certain problem. There are more than two hundred brand new and carefully selected problems in this second edition, chosen to highlight and cover the core everyday challenges of a Java programmer. Apart from providing a comprehensive compendium of problem solutions based on real-world examples, this book will also give you the confidence to answer questions relating to matching particular streams and methods to various problems. By the end of this book you will have gained a strong understanding of Java’s new features and have the confidence to develop and choose the right solutions to your problems.
Table of Contents (16 chapters)
1
Text Blocks, Locales, Numbers, and Math
Free Chapter
2
Objects, Immutability, Switch Expressions, and Pattern Matching
14
Other Books You May Enjoy
15
Index

119. Introducing the Rope data structure

Prerequisite: Starting with this problem, we will cover a bunch of complex data structures that require previous experience with binary trees, lists, heaps, queues, stacks, and so on. If you are a novice in the data structure field, then I strongly recommend you postpone the following problems until you manage to read The Complete Coding Interview Guide in Java, which provides deep coverage of these preliminary topics.

When we need to handle large amounts of text (for instance, if we were developing a text editor or a powerful text search engine), we have to deal with a significant number of complex tasks. Among these tasks, we have to consider appending/concatenating strings and memory consumption.

The Rope data structure is a special binary tree that aims to improve string operations while using memory efficiently (which is especially useful for large strings). Its Big O goals are listed in the following figure:

Figure 5.12.png

Figure 5...