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Growth - Yet another Obfuscated MATLAB code

version 1.5.0.0 (3.87 KB) by Hikaru Ikuta
Obfuscated MATLAB code where the source looks like its output, with a functional programming demo.

552 Downloads

Updated 17 Aug 2015

From GitHub

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Editor's Note: This file was selected as MATLAB Central Pick of the Week

This is an obfuscated piece of MATLAB code, where the source text is made to look like its output figure.
This program also demonstrates several techniques for functional programming in MATLAB using anonymous functions. This code runs only by executing a single anonymous function, without touching the global workspace at all, and also without the help of external libraries.
When executed, this code outputs a figure of a forest, consisting of 9 trees. The number of trees to draw could be changed by changing the constant 9 in the end of the code.
In this code, the following features are implemented/used:

- recursion (and loops)
- conditionals (and lazy evaluation)
- local variables ('let' clause)
- execution of multiple statements

Technical details

- Recursion is implemented by using the Y combinator.
- Loops are implemented by tail recursion.
- Conditionals are implemented by evaluating a function chosen from a list,
where the index number is given by a formula consisting of relational operators.
- Lazy evaluation is performed by wrapping an expression with @()
and then applying feval at a desired timing.
- Local variables are implemented by passing constants to a function through its arguments.

Functional Programming in MATLAB is also introduced in:
Introduction to Functional Programming with Anonymous Functions, Part 1
http://blogs.mathworks.com/loren/2013/01/10/introduction-to-functional-programming-with-anonymous-functions-part-1/

Cite As

Hikaru Ikuta (2021). Growth - Yet another Obfuscated MATLAB code (https://github.com/woodrush/growth), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.