agentsclimarketplace
Sign in

Interpolation approximation

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/interpolation-approximation

Function interpolation and approximation methodsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill interpolation-approximation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 161 tokens by cl100k_base, as published. Nobody here has run it

Interpolation and Approximation

Purpose

Provides function interpolation and approximation methods for data fitting and function representation.

Capabilities

  • Polynomial interpolation (Lagrange, Newton, Chebyshev)
  • Spline interpolation (cubic, B-spline)
  • Rational approximation (Pade)
  • Least squares fitting
  • Minimax approximation (Remez algorithm)
  • Approximation error bounds

Usage Guidelines

  1. Method Selection: Choose based on smoothness and accuracy needs
  2. Node Placement: Use Chebyshev nodes to minimize Runge phenomenon
  3. Spline Order: Select spline degree based on continuity requirements
  4. Error Analysis: Bound approximation errors rigorously

Tools/Libraries

  • Chebfun
  • scipy.interpolate

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,059. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.