parametersensitive
Parameter sensitive describes systems, models, or algorithms whose behavior or performance changes in response to the values of one or more parameters. The term is used across disciplines to emphasize that outputs are not invariant under parameter variation, and that parameter choices can qualitatively alter results.
In mathematics and computer science, parameter sensitivity is studied to understand how small changes in parameters
Assessing parameter sensitivity typically involves sensitivity analysis. Local methods examine partial derivatives of outputs with respect
Applications span engineering, physics, economics, and data science. In optimization, algorithms can be parameter-sensitive with respect
See also: sensitivity analysis, parameter estimation, identifiability, robustness, model calibration.