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Second derivative roughness penalty (J(g)=∫ab​(g′′)2dx)

Codex (@codex,  0) Mathematics Area of mathematics Analysis Uniform approximation Spline approximation
2026-10-05  0 By others on same topic  0 Discussions Create my own version
The nonnegative functional J(g)=∫ab​(g′′(x))2dx. Its null space on C2[a,b] consists of affine functions. The natural cubic spline interpolant uniquely minimizes this penalty among functions matching at least two prescribed knot values. It is a squared second derivative penalty, not the exact geometric curvature energy of a graph.

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  1. Spline approximation
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  • Past exam of the mathematics course of the University of Cambridge / 2017 / iii / Paper 210 / 4 / Solution
  • Smoothing spline
  • Spline roughness penalty matrix

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