Function approximation: Difference between revisions
imported>Igor Grešovnik No edit summary |
mNo edit summary |
||
(5 intermediate revisions by one other user not shown) | |||
Line 1: | Line 1: | ||
{{subpages}} | |||
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. | ||
Line 4: | Line 5: | ||
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]] |
Latest revision as of 11:01, 19 August 2024
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.