Interpolation
- Updated2023-02-21
- 1 minute(s) read
In some applications, a function y = f(x) is usually given at some discrete points, such as (x0, y0), (x1, y1), …, (xn - 1, yn - 1).
To find the value of y at the value of x, you construct the function that closely fits those data points. In the case of interpolation, a type of curve fitting, the function must fit the given data points exactly.
According to interpolation, the equation
defines x and y with the values in the following table:
| x | y |
|---|---|
| -1 | 0.0769231 |
| -0.6 | 0.18797 |
| -0.2 | 0.675676 |
| 0.2 | 0.675676 |
| 0.6 | 0.18797 |
| 1 | 0.0769231 |
Parent topic: Advanced Analysis Concepts
