Optimal correcting of absolute value equations by using smoothing techniques. Issue 4 (19th May 2019)
- Record Type:
- Journal Article
- Title:
- Optimal correcting of absolute value equations by using smoothing techniques. Issue 4 (19th May 2019)
- Main Title:
- Optimal correcting of absolute value equations by using smoothing techniques
- Authors:
- Moosaei, Hossein
Ketabchi, Saeed - Abstract:
- Abstract: This paper studies overdetermined system of absolute value equations (AVE) where data are contaminated by noise. The primary goal of this paper is to present a class of smoothing methods for optimal error correcting of AVE. To prove the feasibility of this non linear system, we adopt the minimal correction using the l2 norm by applying changes to the right hand vector. We demonstrate that the formulation of this problem as an unconstrained optimization problem using a quadratic objective function is possible. We then outline the algorithm and convergence analysis and propose a Newton method type for solving unconstrained optimization problem. Numerical results are provided to reveal the effectiveness of our method.
- Is Part Of:
- Journal of interdisciplinary mathematics. Volume 22:Issue 4(2019)
- Journal:
- Journal of interdisciplinary mathematics
- Issue:
- Volume 22:Issue 4(2019)
- Issue Display:
- Volume 22, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 22
- Issue:
- 4
- Issue Sort Value:
- 2019-0022-0004-0000
- Page Start:
- 531
- Page End:
- 538
- Publication Date:
- 2019-05-19
- Subjects:
- 90C20 -- 90C36 -- 49M15
Absolute value equations -- Smoothing technique -- Infeasible systems
Mathematics -- Periodicals
Mathematics
Periodicals
510.5 - Journal URLs:
- http://www.iospress.nl/html/09720502.php ↗
http://www.tandfonline.com/loi/tjim20 ↗ - DOI:
- 10.1080/09720502.2019.1639946 ↗
- Languages:
- English
- ISSNs:
- 0972-0502
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11871.xml