Jump to content

Numerical method: Difference between revisions

From Wikipedia, the free encyclopedia
Content deleted Content added
m +{{Authority control}} (1 ID from Wikidata); WP:GenFixes & cleanup on
Added one sentence in the beginning that ACTUALLY tells me what it is in layman's terms.
Tags: Reverted Visual edit
Line 1: Line 1:
{{Short description|Mathematical tool to algorithmically solve equations}}
{{Short description|Mathematical tool to algorithmically solve equations}}
{{more footnotes needed|date=September 2016}}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.
{{more footnotes needed|date=September 2016}}
It is estimation (oversimplified). 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==
==Mathematical definition==

Revision as of 00:30, 3 August 2024

It is estimation (oversimplified). 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]

See also

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)