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Learning Java Functional Programming

Learning Java Functional Programming

By : Richard M Reese, Richard M. Reese
3 (1)
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Learning Java Functional Programming

Learning Java Functional Programming

3 (1)
By: Richard M Reese, Richard M. Reese

Overview of this book

Functional programming is an increasingly popular technology that allows you to simplify many tasks that are often cumbersome and awkward using an object-oriented approach. It is important to understand this approach and know how and when to apply it. Functional programming requires a different mindset, but once mastered it can be very rewarding. This book simplifies the learning process as a problem is described followed by its implementation using an object-oriented approach and then a solution is provided using appropriate functional programming techniques. Writing succinct and maintainable code is facilitated by many functional programming techniques including lambda expressions and streams. In this book, you will see numerous examples of how these techniques can be applied starting with an introduction to lambda expressions. Next, you will see how they can replace older approaches and be combined to achieve surprisingly elegant solutions to problems. This is followed by the investigation of related concepts such as the Optional class and monads, which offer an additional approach to handle problems. Design patterns have been instrumental in solving common problems. You will learn how these are enhanced with functional techniques. To transition from an object-oriented approach to a functional one, it is useful to have IDE support. IDE tools to refactor, debug, and test functional programs are demonstrated through the chapters. The end of the book brings together many of these functional programming techniques to create a more comprehensive application. You will find this book a very useful resource to learn and apply functional programming techniques in Java.
Table of Contents (11 chapters)
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10
Index

Recursive data structures

A recursive data structure contains references to itself, such as a list or tree. These types of structures are dynamic data structures where the structure can theoretically grow to an infinite length.

The recursive nature of this data structure lends itself to recursive algorithms. Examples of recursive data structures include:

  • Linked lists
  • Trees
  • Filesystems
  • Graph

It is sometimes thought that recursive methods work differently from regular methods. They don't. They both simply return when they are completed. A problem that can be solved using iteration can be solved using recursion. A problem that can be solved using recursion can be solved using iteration.

A recursive solution will typically take more space than an iterative solution. Each time a method is called, an activation record is created for the method. This activation record will contain its parameters and any local variables as is detailed in Understanding the program stack. An iterative solution will...

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Learning Java Functional Programming
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