Projection method for Fractional Lavrentiev Regularisation method in Hilbert scales
| dc.contributor.author | Mekoth, C. | |
| dc.contributor.author | George, S. | |
| dc.contributor.author | Padikkal, P. | |
| dc.contributor.author | Cho, Y.J. | |
| dc.date.accessioned | 2026-02-04T12:28:27Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | We study finite dimensional Fractional Lavrentiev Regularization (FLR) method for linear ill-posed operator equations in the Hilbert scales. We obtain an optimal order error estimate under Hölder type source condition and under a parameter choice strategy. Numerical experiments confirming the theoretical results are also given. © 2022, The Author(s), under exclusive licence to The Forum D’Analystes. | |
| dc.identifier.citation | Journal of Analysis, 2022, , , pp. - | |
| dc.identifier.issn | 9713611 | |
| dc.identifier.uri | https://doi.org/10.1007/s41478-022-00516-9 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/22752 | |
| dc.publisher | Springer Science and Business Media B.V. | |
| dc.subject | Discrepancy principle | |
| dc.subject | Finite dimension | |
| dc.subject | Hilbert scales | |
| dc.subject | Ill-posed problem | |
| dc.subject | Lavrentiev Regularization | |
| dc.title | Projection method for Fractional Lavrentiev Regularisation method in Hilbert scales |