# solvers.SensitivitySolver { #mlsysim.solvers.SensitivitySolver }

```python
solvers.SensitivitySolver()
```

Identifies the binding constraint via numerical sensitivity analysis (Wall 21).

This solver computes numerical partial derivatives of performance
with respect to hardware parameters to identify the 'binding constraint.'

Literature Source:
1. Williams et al. (2009), "Roofline Model."
2. Ofenbeck et al. (2014), "Applying the Roofline Model."

## Methods

| Name | Description |
| --- | --- |
| [solve](#mlsysim.solvers.SensitivitySolver.solve) | Solves for sensitivities and identifies the binding constraint. |

### solve { #mlsysim.solvers.SensitivitySolver.solve }

```python
solvers.SensitivitySolver.solve(
    model,
    hardware,
    precision='fp16',
    perturbation_pct=10.0,
    efficiency=0.5,
)
```

Solves for sensitivities and identifies the binding constraint.