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Arvind K. Saibaba
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Randomized algorithms for low-rank tensor decompositions in the Tucker format
R Minster, AK Saibaba, ME Kilmer
SIAM journal on mathematics of data science 2 (1), 189-215, 2020
962020
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
862018
Randomized matrix-free trace and log-determinant estimators
AK Saibaba, A Alexanderian, ICF Ipsen
Numerische Mathematik 137 (2), 353-395, 2017
842017
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
742018
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
702016
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
642018
Efficient methods for large-scale linear inversion using a geostatistical approach
AK Saibaba, PK Kitanidis
Water Resources Research 48 (5), W05522, 2012
562012
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
552018
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
522013
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
512019
Generalized hybrid iterative methods for large-scale Bayesian inverse problems
J Chung, AK Saibaba
SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017
482017
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
462015
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
452012
Efficient generalized Golub–Kahan based methods for dynamic inverse problems
J Chung, AK Saibaba, M Brown, E Westman
Inverse Problems 34 (2), 024005, 2018
422018
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
392016
Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite
SM Miller, AK Saibaba, ME Trudeau, ME Mountain, AE Andrews
Geoscientific Model Development 13 (3), 1771-1785, 2020
362020
Randomized algorithms for rounding in the tensor-train format
H Al Daas, G Ballard, P Cazeaux, E Hallman, A Międlar, M Pasha, ...
SIAM Journal on Scientific Computing 45 (1), A74-A95, 2023
342023
Randomized discrete empirical interpolation method for nonlinear model reduction
AK Saibaba
SIAM Journal on Scientific Computing 42 (3), A1582-A1608, 2020
312020
Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis
AK Saibaba, J Hart, B van Bloemen Waanders
Numerical linear algebra with applications 28 (4), e2364, 2021
302021
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
292017
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