Function approximation: Difference between revisions

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A function approximation problem asks us to select a function among a well-defined class that closely matches (approximates) a target function.
A function approximation problem asks us to select a function among a well-defined class that closely matches (approximates) a target function.


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In the second class of problems, the target function (say ''f'') may be unknown. Instead of an explicit formula, only a set of points of the form (''x'', ''f''(''x'')) is provided. Several techniques for approximating ''f'' may be applicable (depending on the structure of the [[domain]] and [[codomain]] of ''f''), such as [[interpolation]], [[extrapolation]], [[regression analysis]], and [[curve fitting]].
In the second class of problems, the target function (say ''f'') may be unknown. Instead of an explicit formula, only a set of points of the form (''x'', ''f''(''x'')) is provided. Several techniques for approximating ''f'' may be applicable (depending on the structure of the [[domain]] and [[codomain]] of ''f''), such as [[interpolation]], [[extrapolation]], [[regression analysis]], and [[curve fitting]].
== See also ==
*[[Approximation theory]]
*[[Least squares approximation]]
*[[Moving least squares]]
*[[Function (mathematics)]]
*[[Regression analysis]][[Category:Suggestion Bot Tag]]

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A function approximation problem asks us to select a function among a well-defined class that closely matches (approximates) a target function.

There are two major classes of function approximation problems. For known target functions approximation theory investigates how certain known functions can be approximated by a specific class of functions (for example, polynomials or rational functions).

In the second class of problems, the target function (say f) may be unknown. Instead of an explicit formula, only a set of points of the form (x, f(x)) is provided. Several techniques for approximating f may be applicable (depending on the structure of the domain and codomain of f), such as interpolation, extrapolation, regression analysis, and curve fitting.


See also