sensitivity-analysis-toolkit

# Sensitivity Analysis Toolkit ## Purpose Provides comprehensive sensitivity analysis capabilities for optimization problems to understand solution robustness. ## Capabilities - Dual variable computation and interpretation - Shadow price analysis - Parametric programming - Binding constraint analysis - Post-optimality analysis - Robust optimization formulations ## Usage Guidelines 1. **Dual Extraction**: Obtain dual variables from solvers 2. **Shadow Prices**: Interpret marginal values correctly 3. **Parametric Analysis**: Study solution changes with parameters 4. **Robustness**: Formulate robust counterparts when needed ## Tools/Libraries - Pyomo - JuMP - AMPL