There are several methods and algorithms used in sensitivity analysis:

• Graphical methods - are used to discover non-linearity.
• Screening methods - are used to find which parameters are relevant to study.
• Regression/correlation analysis - for linear models.
• Regression/correlation analysis on ranked outputs - for monotonic functions.
• Variance based methods - model free but computational expensive.