- Zhen-Chen Guo, Xin Liang:
Stochastic Algebraic Riccati Equations Are Almost as Easy as Deterministic Ones Theoretically. SIAM J. Matrix Anal. Appl. 44(4): 1749-1770 (2023) - Stefan Güttel, Marcel Schweitzer:
Randomized Sketching for Krylov Approximations of Large-Scale Matrix Functions. SIAM J. Matrix Anal. Appl. 44(3): 1073-1095 (2023) - Eric Hallman, Ilse C. F. Ipsen, Arvind K. Saibaba:
Monte Carlo Methods for Estimating the Diagonal of a Real Symmetric Matrix. SIAM J. Matrix Anal. Appl. 44(1): 240-269 (2023) - Cory D. Hauck, Stefan Schnake:
A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations. SIAM J. Matrix Anal. Appl. 44(3): 971-1005 (2023) - Yunhui He, Jun Liu:
Smoothing Analysis of Two Robust Multigrid Methods for Elliptic Optimal Control Problems. SIAM J. Matrix Anal. Appl. 44(1): 1-26 (2023) - Milan Hladík:
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes. SIAM J. Matrix Anal. Appl. 44(1): 175-195 (2023) - Iveta Hnetynková, Martin Plesinger, Jana Záková:
Krylov Subspace Approach to Core Problems within Multilinear Approximation Problems: A Unifying Framework. SIAM J. Matrix Anal. Appl. 44(1): 53-79 (2023) - Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak:
Solving Singular Generalized Eigenvalue Problems. Part II: Projection and Augmentation. SIAM J. Matrix Anal. Appl. 44(4): 1589-1618 (2023) - Sean Hon, Jiamei Dong, Stefano Serra Capizzano:
A Preconditioned MINRES Method for Optimal Control of Wave Equations and its Asymptotic Spectral Distribution Theory. SIAM J. Matrix Anal. Appl. 44(4): 1477-1509 (2023) - Zheng-Hai Huang, Yu-Fan Li, Xinhe Miao:
Finding the Least Element of a Nonnegative Solution Set of a Class of Polynomial Inequalities. SIAM J. Matrix Anal. Appl. 44(2): 530-558 (2023) - Zhongxiao Jia, Haibo Li:
The Joint Bidiagonalization Method for Large GSVD Computations in Finite Precision. SIAM J. Matrix Anal. Appl. 44(1): 382-407 (2023) - Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
A Higher-Order Generalized Singular Value Decomposition for Rank-Deficient Matrices. SIAM J. Matrix Anal. Appl. 44(3): 1047-1072 (2023) - Philip A. Knight, Luce le Gorrec, Sandrine Mouysset, Daniel Ruiz:
Introducing the Class of SemiDoubly Stochastic Matrices: A Novel Scaling Approach for Rectangular Matrices. SIAM J. Matrix Anal. Appl. 44(4): 1731-1748 (2023) - Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval:
Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support. SIAM J. Matrix Anal. Appl. 44(2): 503-529 (2023) - Zihao Li, Lek-Heng Lim:
Generalized Matrix Nearness Problems. SIAM J. Matrix Anal. Appl. 44(4): 1709-1730 (2023) - Jianze Li, Konstantin Usevich, Pierre Comon:
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices. SIAM J. Matrix Anal. Appl. 44(2): 592-621 (2023) - Jinpeng Liu, Yuanyuan Liu, Yiqiang Q. Zhao:
Matrix-Analytic Methods for Solving Poisson's Equation with Applications to Markov Chains of GI/G/1-Type. SIAM J. Matrix Anal. Appl. 44(3): 1122-1145 (2023) - Anna Ma, Dominik Stöger, Yizhe Zhu:
Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. SIAM J. Matrix Anal. Appl. 44(4): 1566-1588 (2023) - Nicholas F. Marshall, Oscar Mickelin:
An Optimal Scheduled Learning Rate for a Randomized Kaczmarz Algorithm. SIAM J. Matrix Anal. Appl. 44(1): 312-330 (2023) - Tim Mitchell, Paul Van Dooren:
Root-Max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems. SIAM J. Matrix Anal. Appl. 44(2): 753-780 (2023) - Alexis Montoison, Dominique Orban:
GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems. SIAM J. Matrix Anal. Appl. 44(1): 293-311 (2023) - Yuji Nakatsukasa, Taejun Park:
Randomized Low-Rank Approximation for Symmetric Indefinite Matrices. SIAM J. Matrix Anal. Appl. 44(3): 1370-1392 (2023) - Vanni Noferini, Paul Van Dooren:
Revisiting the Matrix Polynomial Greatest Common Divisor. SIAM J. Matrix Anal. Appl. 44(3): 1164-1188 (2023) - Vanni Noferini, Lauri Nyman, Javier Pérez, María C. Quintana:
Perturbation Theory of Transfer Function Matrices. SIAM J. Matrix Anal. Appl. 44(3): 1299-1320 (2023) - Guillaume Olikier, Pierre-Antoine Absil:
An Apocalypse-Free First-Order Low-Rank Optimization Algorithm with at Most One Rank Reduction Attempt per Iteration. SIAM J. Matrix Anal. Appl. 44(3): 1421-1435 (2023) - Junjun Pan, Michael Ng:
Coseparable Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(3): 1393-1420 (2023) - Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Randomized Block Adaptive Linear System Solvers. SIAM J. Matrix Anal. Appl. 44(3): 1349-1369 (2023) - John Peca-Medlin, Thomas Trogdon:
Growth Factors of Random Butterfly Matrices and the Stability of Avoiding Pivoting. SIAM J. Matrix Anal. Appl. 44(3): 945-970 (2023) - David Persson, Daniel Kressner:
Randomized Low-Rank Approximation of Monotone Matrix Functions. SIAM J. Matrix Anal. Appl. 44(2): 894-918 (2023) - Manuel Radons, Josué Tonelli-Cueto:
Generalized Perron Roots and Solvability of the Absolute Value Equation. SIAM J. Matrix Anal. Appl. 44(4): 1645-1666 (2023)