On projective Landweber–Kaczmarz methods for solving systems of nonlinear ill-posed equations. (11th January 2016)
- Record Type:
- Journal Article
- Title:
- On projective Landweber–Kaczmarz methods for solving systems of nonlinear ill-posed equations. (11th January 2016)
- Main Title:
- On projective Landweber–Kaczmarz methods for solving systems of nonlinear ill-posed equations
- Authors:
- Leitão, A
Svaiter, B F - Abstract:
- Abstract: In this article we combine the projective Landweber method, recently proposed by the present authors, with Kaczmarz's method for solving systems of nonlinear ill-posed equations. The underlying assumption used in this work is the tangential cone condition. We show that the proposed iteration is a convergent regularization method. Numerical tests are presented for a nonlinear inverse problem related to the Dirichlet-to-Neumann map, indicating a superior performance of the proposed method when compared with other well established iterations. Our preliminary investigation indicates that the resulting iteration is a promising alternative for computing stable solutions of large scale systems of nonlinear ill-posed equations .
- Is Part Of:
- Inverse problems. Volume 32:Number 2(2016:Feb.)
- Journal:
- Inverse problems
- Issue:
- Volume 32:Number 2(2016:Feb.)
- Issue Display:
- Volume 32, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 32
- Issue:
- 2
- Issue Sort Value:
- 2016-0032-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-01-11
- Subjects:
- Ill-posed problems -- nonlinear equations -- Landweber method -- Kaczmarz method -- projective method
65J20 -- 47J06
Inverse problems (Differential equations) -- Periodicals
515.357 - Journal URLs:
- http://iopscience.iop.org/0266-5611 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/0266-5611/32/2/025004 ↗
- Languages:
- English
- ISSNs:
- 0266-5611
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11269.xml