### How to use this tool?

This free online converter lets you convert code from Fortran to Matlab in a click of a button. To use this converter, take the following steps -

- Type or paste your Fortran code in the input box.
- Click the convert button.
- The resulting Matlab code from the conversion will be displayed in the output box.

### Examples

The following are examples of code conversion from Fortran to Matlab 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.

Fortran

Matlab

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

Fortran

Matlab

### Key differences between Fortran and Matlab

Characteristic | Fortran | Matlab |
---|---|---|

Syntax | Fortran uses a fixed-format syntax, which can be difficult to read and write. However, it has a simple and consistent syntax that is easy to learn. | Matlab uses a more flexible syntax that allows for more natural expression of mathematical operations. It also has a large number of built-in functions and operators that make it easy to perform complex calculations. |

Paradigm | Fortran is primarily a procedural language, although it does support some object-oriented programming features. It is designed for scientific and engineering applications. | Matlab is a high-level language that is designed for numerical computing and data analysis. It supports both procedural and object-oriented programming paradigms. |

Typing | Fortran is a statically typed language, which means that variable types must be declared before they can be used. This can make it more difficult to write code, but it also helps to catch errors before they occur. | Matlab is a dynamically typed language, which means that variable types are determined at runtime. This can make it easier to write code, but it can also lead to errors that are difficult to catch. |

Performance | Fortran is known for its excellent performance, especially for scientific and engineering applications that involve complex calculations. It is often used for high-performance computing. | Matlab is not as fast as Fortran for complex calculations, but it is still relatively fast and is often used for data analysis and visualization. |

Libraries and frameworks | Fortran has a large number of libraries and frameworks that are specifically designed for scientific and engineering applications. These include libraries for linear algebra, numerical analysis, and parallel computing. | Matlab has a large number of built-in functions and toolboxes that are specifically designed for numerical computing and data analysis. It also has a large user community that has developed many third-party libraries and toolboxes. |

Community and support | Fortran has a smaller user community than Matlab, but it still has a dedicated following, especially in the scientific and engineering communities. There are also many online resources and forums available for Fortran users. | Matlab has a large and active user community that has developed many third-party libraries and toolboxes. It also has excellent documentation and support from MathWorks, the company that develops Matlab. |

Learning curve | Fortran has a steeper learning curve than Matlab, especially for programmers who are not familiar with scientific and engineering applications. However, it is a relatively simple language to learn, and there are many online resources available for beginners. | Matlab has a relatively low learning curve, especially for programmers who are already familiar with other high-level languages. It also has excellent documentation and many online resources available for beginners. |