| The use of monotonicity for choosing the regularization parameter in ill-posed problems U Tautenhahn, U Hämarik Inverse Problems 15 (6), 1487, 1999 | 81 | 1999 |
| On the monotone error rule for parameter choice in iterative and continuous regularization methods U Hämarik, U Tautenhahn BIT Numerical Mathematics 41, 1029-1038, 2001 | 66 | 2001 |
| A family of rules for parameter choice in Tikhonov regularization of ill-posed problems with inexact noise level U Hämarik, R Palm, T Raus Journal of Computational and Applied Mathematics 236 (8), 2146-2157, 2012 | 61 | 2012 |
| Use of extrapolation in regularization methods U Hämarik, R Palm, T Raus Walter de Gruyter 15 (3), 277-294, 2007 | 46 | 2007 |
| On the choice of the regularization parameter in ill-posed problems with approximately given noise level of data. U Hämarik, T Raus Journal of Inverse & Ill-Posed Problems 14 (3), 2006 | 46 | 2006 |
| On minimization strategies for choice of the regularization parameter in ill-posed problems U Hämarik, R Palm, T Raus Numerical Functional Analysis and Optimization 30 (9-10), 924-950, 2009 | 29 | 2009 |
| About the balancing principle for choice of the regularization parameter U Hämarik, T Raus Numerical Functional Analysis and Optimization 30 (9-10), 951-970, 2009 | 28 | 2009 |
| On the quasioptimal regularization parameter choices for solving ill-posed problems T Raus, U Hämarik Walter de Gruyter 15 (4), 419-439, 2007 | 28 | 2007 |
| Regularization by discretization in Banach spaces U Hämarik, B Kaltenbacher, U Kangro, E Resmerita Inverse problems 32 (3), 035004, 2016 | 26* | 2016 |
| Comparison of parameter choices in regularization algorithms in case of different information about noise level U Hämarik, R Palm, T Raus Calcolo 48, 47-59, 2011 | 26 | 2011 |
| On pseudo—optimal parameter choices and stopping rules for regularization methods in banach spaces: Regularization methods in banach spaces R Plato, U Hämarik Numerical functional analysis and optimization 17 (1-2), 181-195, 1996 | 25 | 1996 |
| On the solution of ill‐posed problems by projection methods with a posteriori choice of the discretization level U Hamarik, E Avi, A Ganina Mathematical Modelling and Analysis 7 (2), 241-252, 2002 | 24 | 2002 |
| Conditional stability estimates for ill-posed PDE problems by using interpolation U Tautenhahn, U Hämarik, B Hofmann, Y Shao Numerical Functional Analysis and Optimization 34 (12), 1370-1417, 2013 | 23 | 2013 |
| On the parameter choice in the regularized Ritz-Galerkin method U Hämarik Proc. Estonian Acad. Sci. Phys. Math 42 (2), 133-143, 1993 | 23 | 1993 |
| On rules for stopping the conjugate gradient type methods in ill‐posed problems U Hämarik, R Palm Mathematical Modelling and Analysis 12 (1), 61-70, 2007 | 20 | 2007 |
| On the discretization error in regularized projection methods with parameter choice by discrepancy principle U Hämarik Ill-posed problems in natural sciences, 24-28, 1992 | 17 | 1992 |
| Extrapolation of Tikhonov and Lavrentiev regularization methods U Hämarik, R Palm, T Raus Journal of Physics: Conference Series 135 (1), 012048, 2008 | 15 | 2008 |
| New rule for choice of the regularization parameter in (iterated) Tikhonov method T Raus, U Hämarik Mathematical Modelling and Analysis 14 (2), 187-198, 2009 | 14 | 2009 |
| On numerical realization of quasioptimal parameter choices in (iterated) Tikhonov and Lavrentiev regularization T Raus, U Hämarik Mathematical Modelling and Analysis 14 (1), 99-108, 2009 | 13 | 2009 |
| On the a posteriori parameter choice in regularization methods U Haemarik, T Raus PROCEEDINGS-ESTONIAN ACADEMY OF SCIENCES PHYSICS MATHEMATICS 48, 133-145, 1999 | 13 | 1999 |
Toomas RausAssociated Professor of Mathematics, University of TartuVerified email at ut.ee
