Alexandra Smirnova
Associate Professor
Office: 702 COE
Office phone: 404.413.6409
Email: matabs [at]langate.gsu.edu
Personal webpage
Education
M.S. Mathematics, Ural State University, 1995
Ph.D. Mathematics, Kansas State University, 2000
Research/Teaching
Applied Inverse Problems: Theoretical and Computational Aspects.
Teaching interests include Differential Equations, Numerical Analysis, and Vector Calculus
Selected Publications
A. B.Smirnova, R. A. Renaut and T. Khan, Convergence and application of a modified iteratively regularized Gauss. Newton algorithm. Inverse Problems, 23, N4, 1547-1563 (2007).
A.B.Bakushinsky, A.B.Smirnova, Iterative regularization and generalized discrepancy principle for monotone operator equations. Numerical Functional Analysis and Optimization, 28, N1-2, 13-25 (2007).
A.B.Bakushinsky, A.B.Smirnova, A posteriori stopping rule
for regularized fixed-point iterations, Journal of Nonlinear
Analysis Series A: Theory, Methods & Applications, 64, N6,
1255-1261, (2006).
A.B.Bakushinsky, T.Khan, A.B.Smirnova, Inverse Problem in Optical
Tomography and its Numerical Investigation by Iteratively Regularized
Methods, Jour. of Inverse and Ill-Posed Problems, 13, N4, 1-14,
(2005).
A.B.Bakushinsky, A.B.Smirnova, On application of generalized
discrepancy principle to iterative methods for nonlinear ill-posed
problems, Numerical Functional Analysis and Optimization,
26, N1, 35-48, (2005).
T.Khan, A.B.Smirnova, 1D Inverse Problem in Diffusion Based
Optical Tomography Using Iteratively Regularized Gauss-Newton Algorithm,
Applied Mathematics and Computation, 161, N1, 149-170, (2005).
A.B.Smirnova, Regularized Quasi-Newton method with continuous inversion of (F'+\eps I) for monotone ill-posed operator equations, Contemporary Mathematics, 379, 113-124, (2005).
A.G.Ramm, A.B.Smirnova, On deconvolution problems: numerical
aspects, Journal of Computational and Applied Mathematics, 176, N2,
445-460, (2005).