Arvind K. Saibaba
Arvind K. Saibaba
Associate Professor, North Carolina State University
כתובת אימייל מאומתת בדומיין ncsu.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
422016
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
422013
Efficient methods for large-scale linear inversion using a geostatistical approach
AK Saibaba, PK Kitanidis
Water Resources Research 48 (5), W05522, 2012
422012
Randomized matrix-free trace and log-determinant estimators
AK Saibaba, A Alexanderian, ICF Ipsen
Numerische Mathematik 137 (2), 353-395, 2017
392017
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
332012
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
292015
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
232018
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
232018
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
212018
Efficient generalized Golub–Kahan based methods for dynamic inverse problems
J Chung, AK Saibaba, M Brown, E Westman
Inverse Problems 34 (2), 024005, 2018
192018
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
192017
Generalized hybrid iterative methods for large-scale Bayesian inverse problems
J Chung, AK Saibaba
SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017
182017
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
172018
Fast algorithms for Bayesian inversion
S Ambikasaran, AK Saibaba, EF Darve, PK Kitanidis
Computational Challenges in the Geosciences, 101-142, 2013
172013
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
162016
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
112019
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
10*2018
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
92020
Efficient marginalization-based MCMC methods for hierarchical Bayesian inverse problems
AK Saibaba, J Bardsley, DA Brown, A Alexanderian
SIAM/ASA Journal on Uncertainty Quantification 7 (3), 1105-1131, 2019
92019
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
92015
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מאמרים 1–20