| A flexible Krylov solver for shifted systems with application to oscillatory hydraulic tomography AK Saibaba, T Bakhos, PK Kitanidis SIAM Journal on Scientific Computing 35 (6), A3001-A3023, 2013 | 35 | 2013 |
| Efficient methods for large-scale linear inversion using a geostatistical approach AK Saibaba, PK Kitanidis Water Resources Research 48 (5), W05522, 2012 | 34 | 2012 |
| Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion AK Saibaba, J Lee, PK Kitanidis Numerical Linear Algebra with Applications 23 (2), 314-339, 2016 | 30 | 2016 |
| Application of hierarchical matrices to linear inverse problems in geostatistics AK Saibaba, S Ambikasaran, JY Li, PK Kitanidis, EF Darve Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 67 (5), 857-875, 2012 | 26 | 2012 |
| Randomized matrix-free trace and log-determinant estimators AK Saibaba, A Alexanderian, ICF Ipsen Numerische Mathematik 137 (2), 353-395, 2017 | 22 | 2017 |
| Fast computation of uncertainty quantification measures in the geostatistical approach to solve inverse problems AK Saibaba, PK Kitanidis Advances in water resources 82, 124-138, 2015 | 18 | 2015 |
| Multipreconditioned GMRES for shifted systems T Bakhos, PK Kitanidis, S Ladenheim, AK Saibaba, DB Szyld SIAM Journal on Scientific Computing 39 (5), S222-S247, 2017 | 15 | 2017 |
| Fast algorithms for Bayesian inversion S Ambikasaran, AK Saibaba, EF Darve, PK Kitanidis Computational Challenges in the Geosciences, 101-142, 2013 | 14 | 2013 |
| The discrete empirical interpolation method: Canonical structure and formulation in weighted inner product spaces Z Drmac, AK Saibaba SIAM Journal on Matrix Analysis and Applications 39 (3), 1152-1180, 2018 | 11 | 2018 |
| Efficient D-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems A Alexanderian, AK Saibaba SIAM Journal on Scientific Computing 40 (5), A2956-A2985, 2018 | 9 | 2018 |
| HOID: higher order interpolatory decomposition for tensors based on Tucker representation AK Saibaba SIAM Journal on Matrix Analysis and Applications 37 (3), 1223-1249, 2016 | 9 | 2016 |
| Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems A Attia, A Alexanderian, AK Saibaba Inverse Problems 34 (9), 095009, 2018 | 7 | 2018 |
| Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems DA Brown, A Saibaba, S Vallélian SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1076-1100, 2018 | 7* | 2018 |
| A fast algorithm for parabolic PDE-based inverse problems based on Laplace transforms and flexible Krylov solvers T Bakhos, AK Saibaba, PK Kitanidis Journal of Computational Physics 299, 940 - 954, 2015 | 7 | 2015 |
| Fast Algorithms for Hyperspectral Diffuse Optical Tomography AK Saibaba, EL Kilmer, Misha, Miller, S Fantini SIAM Journal on Scientific Computing 37 (5), B712-B743, 2015 | 7 | 2015 |
| Efficient generalized Golub–Kahan based methods for dynamic inverse problems J Chung, AK Saibaba, M Brown, E Westman Inverse Problems 34 (2), 024005, 2018 | 6 | 2018 |
| Generalized hybrid iterative methods for large-scale Bayesian inverse problems J Chung, AK Saibaba SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017 | 6 | 2017 |
| A randomized tensor singular value decomposition based on the t‐product J Zhang, AK Saibaba, ME Kilmer, S Aeron Numerical Linear Algebra with Applications 25 (5), e2179, 2018 | 5 | 2018 |
| Fast Kalman filter using hierarchical matrices and a low-rank perturbative approach AK Saibaba, EL Miller, PK Kitanidis Inverse Problems 31 (1), 015009, 2015 | 5 | 2015 |
| Randomized subspace iteration: Analysis of canonical angles and unitarily invariant norms AK Saibaba SIAM Journal on Matrix Analysis and Applications 40 (1), 23-48, 2019 | 4 | 2019 |
Alen AlexanderianNorth Carolina State UniversityVerified email at ncsu.edu
