MATLAB
MATLAB is an actively used programming language created in 1984. MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. Read more on Wikipedia...
36Years Old | 2,619,213Users | 32,291Jobs |
- MATLAB ranks in the top 1% of languages
- the MATLAB website
- the MATLAB wikipedia page
- MATLAB first appeared in 1984
- file extensions for MATLAB include matlab and m
- the MATLAB team is on twitter
- See also: mathlab, c, java, linux, ia-32, apl, pl-0, speakeasy, julia, octave, scilab, csharp, fortran, python, mupad, simulink, r, perl, xml, sql, maple, mathematica, idl, sagemath, s, perl-data-language, numpy, scipy, matplotlib, lua, ruby, javascript, jvm-vm, hdf, powerpc, solaris, sparc, subversion, json, isbn
- Have a question about MATLAB not answered here? Email me and let me know how I can help.
Example code from the Hello World Collection:
% Hello World in MATLAB. disp('Hello World');
Example code from Linguist:
function [ d, d_mean, d_std ] = normalize( d ) d_mean = mean(d); d = d - repmat(d_mean, size(d,1), 1); d_std = std(d); d = d./ repmat(d_std, size(d,1), 1); end
Example code from Wikipedia:
[X,Y] = meshgrid(-10:0.25:10,-10:0.25:10); f = sinc(sqrt((X/pi).^2+(Y/pi).^2)); surf(X,Y,f); axis([-10 10 -10 10 -0.3 1]) xlabel('{\bfx}') ylabel('{\bfy}') zlabel('{\bfsinc} ({\bfR})')
Trending Repos
repo | stars | description |
---|---|---|
deep-photo-styletransfer | 9275 | Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511 |
Algorithms_MathModels | 376 | 【国赛】【美赛】数学建模相关算法 MATLAB实现 |
machine-learning-programming-assignments-coursera-andrew-ng | 218 | Solutions to Andrew NG's machine learning course on Coursera |
Last updated August 9th, 2020