TBenkHyd2/GR2M_Dete​rministic

Version 1.1 (388 KB) by Tarik Benkaci
GR2M Monthly Rainfall Runoff Model using Deterministic Optimisation Methods
0.0
(0)
121 Downloads
Updated 29 May 2021
View License on GitHub
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 (2025). TBenkHyd2/GR2M_Deterministic (https://github.com/TBenkHyd2/GR2M_Deterministic), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Oceanography and Hydrology in Help Center and MATLAB Answers
Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
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
removed certain files.
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.