How to use this tool?
This free online converter lets you convert code from Matlab to Lisp in a click of a button. To use this converter, take the following steps -
- Type or paste your Matlab code in the input box.
- Click the convert button.
- The resulting Lisp code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from Matlab to Lisp using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
Matlab
Lisp
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Matlab
Lisp
Key differences between Matlab and Lisp
Characteristic | Matlab | Lisp |
---|---|---|
Syntax | Matlab uses a syntax that is similar to traditional programming languages, with a focus on matrix operations and numerical computations. | Lisp has a unique syntax that uses parentheses to represent expressions and functions, which can take some time to get used to. |
Paradigm | Matlab is primarily a procedural language, but it also supports object-oriented programming. | Lisp is a functional programming language that supports procedural and object-oriented programming as well. |
Typing | Matlab is dynamically typed, meaning that variable types are determined at runtime. | Lisp is dynamically typed, meaning that variable types are determined at runtime. |
Performance | Matlab is optimized for numerical computations and can be very fast for these types of operations. | Lisp is not optimized for numerical computations and may not be as fast as Matlab for these types of operations. |
Libraries and frameworks | Matlab has a large number of built-in libraries and toolboxes for numerical computations, data analysis, and visualization. | Lisp has a smaller number of libraries and frameworks compared to Matlab, but it has a strong focus on artificial intelligence and machine learning. |
Community and support | Matlab has a large and active community with many resources available for learning and troubleshooting. | Lisp has a smaller community compared to Matlab, but it has a dedicated following and many resources available for learning and troubleshooting. |
Learning curve | Matlab has a relatively low learning curve for those with a background in programming or mathematics. | Lisp has a steeper learning curve due to its unique syntax and functional programming paradigm. |