1993Computers in PhysicsRequires access

Curve fitting by Lagrange interpolation

G. Bäckström

Open publisher page 4 citations

Abstract

It is demonstrated that interpolation by quadratic polynomials using the Lagrange formula may compete in accuracy with cubic spline interpolation, while being simpler to implement. It is also shown that Lagrange interpolation may easily be used to fit an almost arbitrary function to experimental data. FORTRAN routines for Lagrange interpolation as well as Lagrange fitting are supplied separately.

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What this paper is about

It is demonstrated that interpolation by quadratic polynomials using the Lagrange formula may compete in accuracy with cubic spline interpolation, while being simpler to implement. It is also shown that Lagrange interpolation may easily be used to fit an almost arbitrary function to experimental data. FORTRAN routines for Lagrange interpolation as well as Lagrange fitting are supplied separately.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

It is demonstrated that interpolation by quadratic polynomials using the Lagrange formula may compete in accuracy with cubic spline interpolation, while being simpler to implement. It is also shown that Lagrange interpolation may easily be used to fit an almost arbitrary function to experimental data. FORTRAN routines for Lagrange interpolation as well as Lagrange fitting are supplied separately.

Key concepts: Lagrange polynomial, Inverse quadratic interpolation, Spline interpolation, Interpolation (computer graphics), Constraint algorithm, Quadratic equation, Trigonometric interpolation, Mathematics

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