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==Convergence==
==Convergence==
Denote by <math>\ell_n</math> a sequence of ''admissible perturbations'' of <math>x \in X</math> for some numerical method <math>M</math> (i.e. <math>x+\ell_n \in X_n \forall n \in \mathbb{N}</math>) and with <math>y_n(x+\ell_n) \in Y_n</math> the value such that <math>F_n(x+\ell_n,y_n(x+\ell_n)) = 0</math>. A condition which the method has to satisfy to be a meaningful tool for solving the problem <math>F(x,y)=0</math> is ''convergence''math:
Denote by <math>\ell_n</math> a sequence of ''admissible perturbations'' of <math>x \in X</math> for some numerical method <math>M</math> (i.e. <math>x+\ell_n \in X_n \forall n \in \mathbb{N}</math>) and with <math>y_n(x+\ell_n) \in Y_n</math> the value such that <math>F_n(x+\ell_n,y_n(x+\ell_n)) = 0</math>. A condition which the method has to satisfy to be a meaningful tool for solving the problem <math>F(x,y)=0</math> is ''convergence'':


: <math>
: <math>

Revision as of 00:46, 29 June 2020

In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm

Mathematical definition

Let be a well-posed problem, i.e. is a real or complex functional relationship, defined on the cross-product of an input data set and an output data set , such that exists a locally lipschitz function called resolvent, which has the property that for every root of , . We define numerical method for the approximation of , the sequence of problems

with , and for every . The problems of which the method consists need not be well-posed. If they are, the method is said to be stable or well-posed.[1]

Consistency

Necessary conditions for a numerical method to effectively approximate are that and that behaves like when . So, a numerical method is called consistent if and only if the sequence of functions pointwise converges to on the set of its solutions:

When on the method is said to be strictly consistent.[1]

Convergence

Denote by a sequence of admissible perturbations of for some numerical method (i.e. ) and with the value such that . A condition which the method has to satisfy to be a meaningful tool for solving the problem is convergence:

One can easily prove that the point-wise convergence of to implies the convergence of the associated method is function.[1]

References

  1. ^ a b c Quarteroni, Sacco, Saleri (2000). Numerical Mathematics (PDF). Milano: Springer. p. 33. Archived from the original (PDF) on 2017-11-14. Retrieved 2016-09-27.{{cite book}}: CS1 maint: multiple names: authors list (link)