GR2M Monthly Rainfall Runoff Model using Deterministic Optimisation Methods
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GR2M Rainfall Runoff models with determinstic optimisation:
(1) Interior Point Algorithm, (2) Sequential Quadratic Programming: SQP (3) nonlinear least-squares algorithms like Levenberg-Marquardt algorithm
Cite As
Tarik Benkaci (2026). TBenkHyd2/GR2M_Deterministic (https://github.com/TBenkHyd2/GR2M_Deterministic), GitHub. Retrieved .
General Information
- Version 1.1 (388 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1 | - For Optimisation of the GR2M we use (1) Interior Point Algorithm, (2) Sequential Quadratic Programming: SQP (3) nonlinear least-squares algorithms like Levenberg-Marquardt algorithm |
||
| 1.0.0.0 |
The GR2M code was improved and works with all matlab versions
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
