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For full matrices, the algorithm is based on the vectorization of MATLAB's RREF function. A typical speed-up range is about 2-4 times of the MATLAB's RREF function. However, the actual speed-up depends on the size of A. The speed-up is quite considerable if the number of columns in A is considerably larger than the number of its rows or when A is not dense.
For sparse matrices, the algorithm ignores the tol value and uses sparse QR to compute the rref form, improving the speed by a few orders of magnitude.
Authors: Armin Ataei, Ashish Myles
Cite As
Armin Ataei (2026). Fast Reduced Row Echelon Form (https://in.mathworks.com/matlabcentral/fileexchange/21583-fast-reduced-row-echelon-form), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.3.0.0 (2.42 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3.0.0 | Support for sparse matrices was added, which improves the speed-up by a couple orders of magnitude compared to the previous version of frref. |
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| 1.2.0.0 | Added support for sparse matrices, which improves the speed-up a few orders of magnitude compared to the previous version of frref. |
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| 1.0.0.0 | Screenshot was resized. |
