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A convex analysis approach to iterative regularization methods Leitao, Antonio
Description
We address two well known iterative regularization methods for
ill-posed problems (Landweber and iterated-Tikhonov methods)
and discuss how to improve the performance of these classical
methods by using convex analysis tools.
The talk is based on two recent articles (2018):
Range-relaxed criteria for choosing the Lagrange multipliers in
nonstationary iterated Tikhonov method (with R.Boiger, B.F.Svaiter),
and
On a family of gradient type projection methods for nonlinear
ill-posed problems (with B.F.Svaiter)
Item Metadata
| Title |
A convex analysis approach to iterative regularization methods
|
| Creator | |
| Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
|
| Date Issued |
2019-06-25T16:21
|
| Description |
We address two well known iterative regularization methods for
ill-posed problems (Landweber and iterated-Tikhonov methods)
and discuss how to improve the performance of these classical
methods by using convex analysis tools.
The talk is based on two recent articles (2018):
Range-relaxed criteria for choosing the Lagrange multipliers in
nonstationary iterated Tikhonov method (with R.Boiger, B.F.Svaiter),
and
On a family of gradient type projection methods for nonlinear
ill-posed problems (with B.F.Svaiter)
|
| Extent |
40.0 minutes
|
| Subject | |
| Type | |
| File Format |
video/mp4
|
| Language |
eng
|
| Notes |
Author affiliation: University of Floranopolis
|
| Series | |
| Date Available |
2019-12-23
|
| Provider |
Vancouver : University of British Columbia Library
|
| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
| DOI |
10.14288/1.0387282
|
| URI | |
| Affiliation | |
| Peer Review Status |
Unreviewed
|
| Scholarly Level |
Faculty
|
| Rights URI | |
| Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International