SIAM Journal on Matrix Analysis and Applications

Papers
(The TQCC of SIAM Journal on Matrix Analysis and Applications is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Structure Preserving Quaternion Generalized Minimal Residual Method30
On Adaptive Sketch-and-Project for Solving Linear Systems24
Convergence Analysis of Direct Minimization and Self-Consistent Iterations21
A Theory of Quantum Subspace Diagonalization14
Randomized Kaczmarz Converges Along Small Singular Vectors13
Perturbations of CUR Decompositions13
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices13
Triple Decomposition and Tensor Recovery of Third Order Tensors11
Mittag--Leffler Functions and their Applications in Network Science10
An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation10
Incremental CP Tensor Decomposition by Alternating Minimization Method9
A Convex Relaxation to Compute the Nearest Structured Rank Deficient Matrix8
Improved Variants of the Hutch++ Algorithm for Trace Estimation8
A Linear Relation Approach to Port-Hamiltonian Differential-Algebraic Equations8
The Stability of Block Variants of Classical Gram--Schmidt8
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations8
On the Compressibility of Tensors8
Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization7
A Comparison of Limited-memory Krylov Methods for Stieltjes Functions of Hermitian Matrices7
Analysis of Probing Techniques for Sparse Approximation and Trace Estimation of Decaying Matrix Functions7
Random Matrices Generating Large Growth in LU Factorization with Pivoting7
Norm and Trace Estimation with Random Rank-one Vectors6
Theoretically and Computationally Convenient Geometries on Full-Rank Correlation Matrices6
Balanced Truncation Model Reduction for Symmetric Second Order Systems---A Passivity-Based Approach6
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets6
A Multiprecision Derivative-Free Schur--Parlett Algorithm for Computing Matrix Functions6
A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition6
Sharp Estimation of Convergence Rate for Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems5
Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR$^2$ Format5
Spectral Properties of Kernel Matrices in the Flat Limit5
Multiplicative Updates for NMF with $\beta$-Divergences under Disjoint Equality Constraints5
Componentwise Perturbation Analysis of the Schur Decomposition of a Matrix5
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition5
A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems5
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares5
Optimal Complex Relaxation Parameters in Multigrid for Complex-Shifted Linear Systems5
Error Bounds for Lanczos-Based Matrix Function Approximation4
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes4
Solving the Cubic Regularization Model by a Nested Restarting Lanczos Method4
Strongly Minimal Self-Conjugate Linearizations for Polynomial and Rational Matrices4
Fast Approximation of the Gauss--Newton Hessian Matrix for the Multilayer Perceptron4
Efficient Algorithms for Eigensystem Realization Using Randomized SVD4
Matrices with Tunable Infinity-Norm Condition Number and No Need for Pivoting in LU Factorization4
Proxy-GMRES: Preconditioning via GMRES in Polynomial Space4
Arbitrary Precision Algorithms for Computing the Matrix Cosine and its Fréchet Derivative4
Stability of Linear GMRES Convergence with Respect to Compact Perturbations4
Multidimensional Total Least Squares Problem with Linear Equality Constraints4
A Uniform Spectral Analysis for a Preconditioned All-at-Once System from First-Order and Second-Order Evolutionary Problems4
An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization4
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor3
On the Condition Number of the Shifted Real Ginibre Ensemble3
Factorization of Singular Matrix Polynomials and Matrices with Circular Higher Rank Numerical Ranges3
$(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials3
Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition3
A Symbol-Based Analysis for Multigrid Methods for Block-Circulant and Block-Toeplitz Systems3
Finding the Nearest Passive or Nonpassive System via Hamiltonian Eigenvalue Optimization3
Geodesically Parameterized Covariance Estimation3
Uniqueness of Nonnegative Matrix Factorizations by Rigidity Theory3
Hierarchical Orthogonal Factorization: Sparse Square Matrices3
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices3
A Deterministic Kaczmarz Algorithm for Solving Linear Systems3
Matrix Pencils with Coefficients that have Positive Semidefinite Hermitian Parts3
An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems3
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure2
XTrace: Making the Most of Every Sample in Stochastic Trace Estimation2
Stable and Efficient Computation of Generalized Polar Decompositions2
A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank2
Input-Tailored System-Theoretic Model Order Reduction for Quadratic-Bilinear Systems2
Finding the Least Element of a Nonnegative Solution Set of a Class of Polynomial Inequalities2
A Theory for Backtrack-Downweighted Walks2
The Joint Bidiagonalization Method for Large GSVD Computations in Finite Precision2
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality2
From Computation to Comparison of Tensor Decompositions2
Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition2
Fast Interpolation-Based Globality Certificates for Computing Kreiss Constants and the Distance to Uncontrollability2
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis2
Partial Identifiability for Nonnegative Matrix Factorization2
Regularization by Inexact Krylov Methods with Applications to Blind Deblurring2
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair2
Absolute Variation of Ritz Values, Principal Angles, and Spectral Spread2
Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames2
Submatrices with NonUniformly Selected Random Supports and Insights into Sparse Approximation2
High-Performance Computation of the Exponential of a Large Sparse Matrix2
Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite $\mathcal{H}^2$ Matrices2
A Measure Concentration Effect for Matrices of High, Higher, and Even Higher Dimension2
Krylov-Aware Stochastic Trace Estimation2
Robust Eigenvectors of Symmetric Tensors2
Eigenvalue Embedding of Damped Vibroacoustic System with No-Spillover2
Structured Backward Errors for Eigenvalues of Linear Port-Hamiltonian Descriptor Systems2
A Block Bidiagonalization Method for Fixed-Accuracy Low-Rank Matrix Approximation2
A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations2
Asymptotic Spectral Properties of the Hilbert \(L\) -Matrix2
Computing the Riemannian Logarithm on the Stiefel Manifold: Metrics, Methods, and Performance2
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