Function Approximation
Overview
Function approximation takes a limited set of information about a function, such a set of points, or a set of derivatives,
and tries to approximate the function
from that information.
Approximation by Series
Other Approximation Techniques
- Interpolation Techniques : take a set
of points, sampled from the functions domain with the corresponding function outputs, and tries to
create a function that fits the sample points.
- Optimization : takes a given functional form (that is, a function
specified by a set of unknown parameters), and finds the closest fit to a set of points by tuning the parameters that the function depends upon.
- Machine Learning :
