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MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
Passed 16 of 23 test cases with the skill, and 15 of 23 without it.
2 fixed14 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have two matrices `A` and `B` of dimensions 3x3. I want to perform point-by-point element-wise multiplication rather than matrix inner product / row-column multiplication. What operator should be used?
| Checked | Without skill | With skill |
|---|---|---|
| The code uses the element-wise operator `.*`. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
Running MATLAB scripts:
# MATLAB (commercial)
matlab -nodisplay -nosplash -r "run('script.m'); exit;"
# GNU Octave (free, open-source)
octave script.m
Install GNU Octave:
# macOS
brew install octave
# Ubuntu/Debian
sudo apt install octave
# Windows - download from https://octave.org/download
MATLAB operates fundamentally on matrices and arrays:
% 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
test cases passed, vs 15 / 23 without
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