Error Estimate of Data Dependence for Discontinuous Operators by New Iteration Process with Convergence Analysis. (26th October 2019)
- Record Type:
- Journal Article
- Title:
- Error Estimate of Data Dependence for Discontinuous Operators by New Iteration Process with Convergence Analysis. (26th October 2019)
- Main Title:
- Error Estimate of Data Dependence for Discontinuous Operators by New Iteration Process with Convergence Analysis
- Authors:
- Kumam, Wiyada
Khammahawong, Konrawut
Kumam, Poom - Abstract:
- Abstract: In this paper, we introduce a new discontinuous operator and investigate the existence and uniqueness of fixed points for the operators in complete metric spaces. We also provide rate of convergence and data dependency of S-iterative scheme for a fixed point of the discontinuous operators in Banach spaces. Moreover, we prove the estimation Collage theorems and compare error estimate between data dependency and Collage theorems. Numerical examples are provided to support our results.
- Is Part Of:
- Numerical functional analysis and optimization. Volume 40:Number 14(2019)
- Journal:
- Numerical functional analysis and optimization
- Issue:
- Volume 40:Number 14(2019)
- Issue Display:
- Volume 40, Issue 14 (2019)
- Year:
- 2019
- Volume:
- 40
- Issue:
- 14
- Issue Sort Value:
- 2019-0040-0014-0000
- Page Start:
- 1644
- Page End:
- 1677
- Publication Date:
- 2019-10-26
- Subjects:
- Collage theorem -- data dependency -- discontinuous operators -- inverse problem -- iterative scheme -- strong convergence
65J15 -- 65J22 -- 47H10 -- 47N40
Functional analysis -- Periodicals
Numerical analysis -- Periodicals
Mathematical optimization -- Periodicals
Numerical Analysis, Computer-Assisted
515.705 - Journal URLs:
- http://www.tandfonline.com/toc/lnfa20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/01630563.2019.1610437 ↗
- Languages:
- English
- ISSNs:
- 0163-0563
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6184.692000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17352.xml