10: Interpolation and Curve Fitting — Read

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10.1: Linear Interpolation
Linear interpolation estimates values of a relationship between elements of the given values.
- 10.1.1: Linear Interpolation Problem Set
10.2: Nonlinear Interpolation
Spline and pchip interpolation give smooth curves.
10.3: Linear and Polynomial Curve Data Fitting
Polynomial Curve fitting vs. time. Exponential curve fitting.
10.4: Polynomial Fitting Problem Set
Polynomial fitting problems
10.5: Interactive Fitting Tools
Interactive tools use menu items on a figure.
10.6: Chapter 10 Curve Fitting Videos in English and Espanol
Chapter videos

Interpolation is estimating the value of a function between known data points.

Curve fitting is estimating the coefficients of a function that approximates the given data points. This is often used when the given data is measured data that is assumed to have some errors. Another name for curve fitting is "regression". (Some people make a distinction between these, based on the assumptions and purposes, but the computation is the same for both.)

This page titled 10: Interpolation and Curve Fitting was last modified on Mon, 06 May 2024 21:31:07 GMT and is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Carey Smith.

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