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Residual (numerical analysis) : ウィキペディア英語版
Residual (numerical analysis)

Loosely speaking, a residual is the error in a result. To be precise, suppose we want to find ''x'' such that
: f(x)=b.\,
Given an approximation ''x''0 of ''x'', the residual is
: b - f(x_0)\,
whereas the error is
: x - x_0\,
If we do not know ''x'' exactly, we cannot compute the error but we can compute the residual.
==Residual of the approximation of a function==
Similar terminology is used dealing with
differential,
integral and
functional equations.
For the approximation
~f_~ of the solution
~f~ of the equation
: T(f)(x)=g(x) ,
the residual can either be the function
: ~g(x)~ - ~T(f_)(x)
or can be said to be the maximum of the norm of this difference
: \max_ |g(x)-T(f_)(x)|
over the domain \mathcal X, where the function
~f_~
is expected to approximate the solution ~f~,
or some integral of a function of the difference, for example:
: ~\int_ |g(x)-T(f_)(x)|^2~ x.
In many cases, the smallness of the residual means that the approximation is close to the solution, i.e.,
: ~\left|\frac\right| \ll 1.~
In these cases, the initial equation is considered as well-posed; and the residual can be considered as a measure of deviation of the approximation from the exact solution.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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