On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications

In order to solve (partial) differential equations, implicit midpoint rules are often employed as a powerful numerical method. The purpose of this paper is to introduce and study a class of new Picard-Mann iteration processes with mixed errors for the implicit midpoint rules, which is different from...

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Main Authors: Teng-fei Li, Heng-you Lan
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2019/4042965
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author Teng-fei Li
Heng-you Lan
author_facet Teng-fei Li
Heng-you Lan
author_sort Teng-fei Li
collection DOAJ
description In order to solve (partial) differential equations, implicit midpoint rules are often employed as a powerful numerical method. The purpose of this paper is to introduce and study a class of new Picard-Mann iteration processes with mixed errors for the implicit midpoint rules, which is different from existing methods in the literature, and to analyze the convergence and stability of the proposed method. Further, some numerical examples and applications to optimal control problems with elliptic boundary value constraints are considered via the new Picard-Mann iterative approximations, which shows that the new Picard-Mann iteration process with mixed errors for the implicit midpoint rule of nonexpansive mappings is brand new and more effective than other related iterative processes.
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spelling doaj-art-414eb508e7d1462793ede96e5d58c1452025-02-03T01:12:26ZengWileyJournal of Function Spaces2314-88962314-88882019-01-01201910.1155/2019/40429654042965On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and ApplicationsTeng-fei Li0Heng-you Lan1Department of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, ChinaCollege of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, ChinaIn order to solve (partial) differential equations, implicit midpoint rules are often employed as a powerful numerical method. The purpose of this paper is to introduce and study a class of new Picard-Mann iteration processes with mixed errors for the implicit midpoint rules, which is different from existing methods in the literature, and to analyze the convergence and stability of the proposed method. Further, some numerical examples and applications to optimal control problems with elliptic boundary value constraints are considered via the new Picard-Mann iterative approximations, which shows that the new Picard-Mann iteration process with mixed errors for the implicit midpoint rule of nonexpansive mappings is brand new and more effective than other related iterative processes.http://dx.doi.org/10.1155/2019/4042965
spellingShingle Teng-fei Li
Heng-you Lan
On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
Journal of Function Spaces
title On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
title_full On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
title_fullStr On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
title_full_unstemmed On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
title_short On New Picard-Mann Iterative Approximations with Mixed Errors for Implicit Midpoint Rule and Applications
title_sort on new picard mann iterative approximations with mixed errors for implicit midpoint rule and applications
url http://dx.doi.org/10.1155/2019/4042965
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