matlab

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MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

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# MATLAB/Octave Scientific Computing MATLAB is a numerical computing environment optimized for matrix operations and scientific computing. GNU Octave is a free, open-source alternative with high MATLAB compatibility. ## Quick Start **Running MATLAB scripts:** ```bash # MATLAB (commercial) matlab -nodisplay -nosplash -r "run('script.m'); exit;" # GNU Octave (free, open-source) octave script.m ``` **Install GNU Octave:** ```bash # macOS brew install octave # Ubuntu/Debian sudo apt install octave # Windows - download from https://octave.org/download ``` ## Core Capabilities ### 1. Matrix Operations MATLAB operates fundamentally on matrices and arrays: ```matlab % Create matrices A = [1 2 3; 4 5 6; 7 8 9]; % 3x3 matrix v = 1:10; % Row vector 1 to 10 v = linspace(0, 1, 100); % 100 points from 0 to 1 % Special matrices I = eye(3); % Identity matrix Z = zeros(3, 4); % 3x4 zero matrix O = ones(2, 3); % 2x3 ones matrix R = rand(3, 3); % Random uniform N = randn(3, 3); % Random normal % Matrix operations B = A'; % Transpose C = A * B; % Matrix multiplication D = A .* B; % Element-wise multiplication E = A \ b; % Solve linear system Ax = b F = inv(A); % Matrix inverse ``` For complete matrix operations, see [references/matrices-arrays.md](references/matrices-arrays.md). ### 2. Linear Algebra ```matlab % Eigenvalues and eigenvectors [V, D] = eig(A); % V: eigenvector...

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Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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