If we think about it, the whole point of functional programming is to have immutability and recursive definitions (or inductive definitions) of programs so that they can be analyzed easily. In general, adding additional constraints on your program would make it simpler to analyze but would reduce what you can do with it. Functional programming, of course, adds additional constraints on imperative programming in the form of immutability, that is, you are no longer allowed to reassign a variable. This is done so that the analysis of the program, that is, understanding how the program works, is now simpler. It is also simpler to prove theorems about the programs. However, we also lose some of the things that we could do without such restrictions. It turns out that any program can be rewritten in a functional style in a way to produce the same results. However, no guarantees are made about their performance or complexity in general. So, a functional version...
Java 9 Data Structures and Algorithms
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Java 9 Data Structures and Algorithms
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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 (19 chapters)
Java 9 Data Structures and Algorithms
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
Why Bother? – Basic
Cogs and Pulleys – Building Blocks
Protocols – Abstract Data Types
Detour – Functional Programming
Efficient Searching – Binary Search and Sorting
Efficient Sorting – quicksort and mergesort
Concepts of Tree
More About Search – Search Trees and Hash Tables
Advanced General Purpose Data Structures
Concepts of Graph
Reactive Programming
Index
Customer Reviews