---

name: interpolation description: Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).

Interpolation Skill

Connect the dots. Choose SciPy for standard usage, JAX for gradient-based optimization.

Contents

• Examples
  • Cubic Splines, PCHIP, Regular Grids.
• Reference
  • Theoretical background on splines and grid methods.

Quick Decision Tree

1. Standard/CPU? -> SciPy (CubicSpline, RegularGridInterpolator).
2. Differentiable/GPU? -> Interpax (interpax.interp1d).
3. Monotonicity Important? -> Use PCHIP (SciPy) or cubic2 (Interpax).