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A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems., , and . Comput. Meth. in Appl. Math., 19 (1): 5-22 (2019)Efficient Structure-preserving Support Tensor Train Machine., , , and . CoRR, (2020)Editorial: Mathematical Fundamentals of Machine Learning., , , , and . Frontiers Appl. Math. Stat., (2021)Fast tensor product solvers for optimization problems with fractional differential equations as constraints., , , and . Appl. Math. Comput., (2016)A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems., , and . SIAM J. Sci. Comput., 43 (5): S637-S654 (2021)Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs., , and . SIAM J. Matrix Anal. Appl., 37 (2): 491-518 (2016)Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution., , , and . CoRR, (2022)A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis., , and . SIAM J. Sci. Comput., 42 (1): A140-A161 (2020)Combination Preconditioning and the Bramble-Pasciak+ Preconditioner., and . SIAM J. Matrix Anal. Appl., 30 (2): 582-608 (2008)Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function., , and . Numerical Lin. Alg. with Applic., 21 (1): 81-97 (2014)