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sensitivity-analysis-toolkit

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Comprehensive sensitivity analysis for optimization

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How to use this skill

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  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/mathematics/skills/sensitivity-analysis-toolkit/SKILL.md

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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