differentiation-schemes - Numerical Differentiation Schemes for PDE/ODE Discretization
Selects numerical differentiation schemes, generates stencils, and estimates truncation errors for PDE and ODE discretizations.
Tags
Updated: 2026-09-16Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Select differentiation schemes
- Generate finite difference stencils
- Estimate truncation errors
- Analyze dispersion and dissipation
Inputs
- Derivative order
- Target accuracy
- Grid type
- Boundary type
- Field smoothness
Outputs
- Recommended schemes
- Stencil offsets and coefficients
- Truncation error scale
Requirements
- Python 3.8+
- NumPy