GSUA-CSB

Newer release with new features.

GSUA-CSB

Fix for a bug when fixing parameters in symbolic math models.

GSUA-CSB

Fix for symbolic-math models with fixed initial conditions

GSUA-CSB

Fix for gsua_deval rotuine with Simulink models + fix for examples.

GSUA-CSB

Several fixes in Simulink routines.

GSUA-CSB

Updates for CSB routines.

GSUA-CSB

Update for Matlab 2020b

GSUA-CSB v1.0.1

Global Sensitivity and Uncertainty Analysis - Confidence Subcontour Box (GSUA-UCI) Toolbox is a product developed by Universidad EAFIT for command-line mathematical model validation in both of Simulink or Symbolic Math Toolbox environment . At present time, the toolbox allows to perform the following functions: To apply and visualize several variance-based sensitivity (SA) and uncertainty (UA) analysis, to estimate model parameters (PE) and to estimate confidence subcontour box (CSB) for estimated parameters. This toolbox is based on the previous work of Carlos Mario Vélez: GSUA of dynamical systems using variance-based methods.

Sensitivity indices estimators implemented in this toolbox are based on the following works:
[1]: Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., and Tarantola, S. (2010). Variance based sensitivity analysis of model output. design and estimator for the total sensitivity index. Computer Physics Communications, 181(2):259–270.
[2]: Xiao, S., Lu, Z., and Wang, P. (2018). Multivariate global sensitivity analysis based on distance components decomposition. Risk Analysis, 38(12):2703–2721.

New features:
Simplified graph generation.

Cite this work as:
Rojas-Díaz, Daniel and Vélez-Sánchez, Carlos Mario (2019). GSUA-CSB (https://www.github.com/drojasd/GSUA-CSB), GitHub. Retrieved September 2, 2019. doi:10.5755281/zenodo.3383316.

GSUA-CSB v1.0

Global Sensitivity and Uncertainty Analysis - Confidence Subcontour Box (GSUA-UCI) Toolbox is a product developed by Universidad EAFIT for command-line mathematical model validation in both of Simulink or Symbolic Math Toolbox environment . At present time, the toolbox allows to perform the following functions: To apply and visualize several variance-based sensitivity (SA) and uncertainty (UA) analysis, to estimate model parameters (PE) and to estimate confidence subcontour box (CSB) for estimated parameters. This toolbox is based on the previous work of Carlos Mario Vélez: GSUA of dynamical systems using variance-based methods.

Sensitivity indices estimators implemented in this toolbox are based on the following works:
[1]: Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., and Tarantola, S. (2010). Variance based sensitivity analysis of model output. design and estimator for the total sensitivity index. Computer Physics Communications, 181(2):259–270.
[2]: Xiao, S., Lu, Z., and Wang, P. (2018). Multivariate global sensitivity analysis based on distance components decomposition. Risk Analysis, 38(12):2703–2721.