Systematically organize the application of js recursive functions and solve the problem of recursive stack explosion

When learning js, the content of recursion is quite complicated, so I have compiled the relevant content about recursion for you. The article introduces it in detail through case code, which will be helpful to everyone's learning. At the beginning of the article, I first introduced the basic content of recursion to give everyone a knowledge concept so that they will not be confused in subsequent studies. Then I listed examples of using recursion. apache php mysql

Preface

It is an undisputed fact that recursive performance is poor. If you think the for loop is better, there is no need to learn recursion. Then you don’t need to read anymore when you see this. Most of the code to be shown in this article is for learning purposes only and I do not recommend using it in a production environment. But if you are interested in functional programming and want to understand some of the core concepts in depth, you should read on.

When I started learning Haskell at the beginning of this year, I was captured by the elegance and simplicity of functional code. The code can actually be written like this! Using imperative code requires writing a lot of programs, which can be solved with just a few lines of recursion. In this article, I will translate the recursive functions I saw in Haskell into JS and Python, and try to explain every step. Finally, I will try to solve the problem of recursive stack explosion (Stack Overflow).

Recursion Basics

I start with Python code and then show the JS implementation.

Many tutorials that explain recursion start with explaining the Fibonacci sequence. I feel that doing so is using an already complex concept to explain another complex concept, which is unnecessary. Let's start with simple code.

Run this Python code:

def foo():
 foo()

foo()

Of course an error will be reported.

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