SIAM Journal on Matrix Analysis and Applications

Papers
(The median citation count of SIAM Journal on Matrix Analysis and Applications is 1. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Structure Preserving Quaternion Generalized Minimal Residual Method28
On Adaptive Sketch-and-Project for Solving Linear Systems22
Convergence Analysis of Direct Minimization and Self-Consistent Iterations21
Randomized Kaczmarz Converges Along Small Singular Vectors12
Perturbations of CUR Decompositions11
A Theory of Quantum Subspace Diagonalization11
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices10
Mittag--Leffler Functions and their Applications in Network Science9
Incremental CP Tensor Decomposition by Alternating Minimization Method9
An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation9
A Convex Relaxation to Compute the Nearest Structured Rank Deficient Matrix8
The Stability of Block Variants of Classical Gram--Schmidt8
Triple Decomposition and Tensor Recovery of Third Order Tensors8
Improved Variants of the Hutch++ Algorithm for Trace Estimation8
A Linear Relation Approach to Port-Hamiltonian Differential-Algebraic Equations8
On the Compressibility of Tensors8
Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization7
Analysis of Probing Techniques for Sparse Approximation and Trace Estimation of Decaying Matrix Functions7
A Comparison of Limited-memory Krylov Methods for Stieltjes Functions of Hermitian Matrices7
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations7
Random Matrices Generating Large Growth in LU Factorization with Pivoting6
A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition6
Norm and Trace Estimation with Random Rank-one Vectors6
Componentwise Perturbation Analysis of the Schur Decomposition of a Matrix5
Spectral Properties of Kernel Matrices in the Flat Limit5
Multiplicative Updates for NMF with $\beta$-Divergences under Disjoint Equality Constraints5
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
Sharp Estimation of Convergence Rate for Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems5
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets5
Balanced Truncation Model Reduction for Symmetric Second Order Systems---A Passivity-Based Approach5
A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems5
Theoretically and Computationally Convenient Geometries on Full-Rank Correlation Matrices5
A Multiprecision Derivative-Free Schur--Parlett Algorithm for Computing Matrix Functions5
Proxy-GMRES: Preconditioning via GMRES in Polynomial Space4
Fast Approximation of the Gauss--Newton Hessian Matrix for the Multilayer Perceptron4
Efficient Algorithms for Eigensystem Realization Using Randomized SVD4
Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR$^2$ Format4
An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization4
Multidimensional Total Least Squares Problem with Linear Equality Constraints4
Strongly Minimal Self-Conjugate Linearizations for Polynomial and Rational Matrices4
Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition3
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices3
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes3
Solving the Cubic Regularization Model by a Nested Restarting Lanczos Method3
Arbitrary Precision Algorithms for Computing the Matrix Cosine and its Fréchet Derivative3
Hierarchical Orthogonal Factorization: Sparse Square Matrices3
Finding the Nearest Passive or Nonpassive System via Hamiltonian Eigenvalue Optimization3
Matrix Pencils with Coefficients that have Positive Semidefinite Hermitian Parts3
Uniqueness of Nonnegative Matrix Factorizations by Rigidity Theory3
Error Bounds for Lanczos-Based Matrix Function Approximation3
A Symbol-Based Analysis for Multigrid Methods for Block-Circulant and Block-Toeplitz Systems3
Matrices with Tunable Infinity-Norm Condition Number and No Need for Pivoting in LU Factorization3
A Uniform Spectral Analysis for a Preconditioned All-at-Once System from First-Order and Second-Order Evolutionary Problems3
An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems3
Absolute Variation of Ritz Values, Principal Angles, and Spectral Spread2
The Joint Bidiagonalization Method for Large GSVD Computations in Finite Precision2
Submatrices with NonUniformly Selected Random Supports and Insights into Sparse Approximation2
Input-Tailored System-Theoretic Model Order Reduction for Quadratic-Bilinear Systems2
Structured Backward Errors for Eigenvalues of Linear Port-Hamiltonian Descriptor Systems2
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
On the Condition Number of the Shifted Real Ginibre Ensemble2
Factorization of Singular Matrix Polynomials and Matrices with Circular Higher Rank Numerical Ranges2
Geodesically Parameterized Covariance Estimation2
A Block Bidiagonalization Method for Fixed-Accuracy Low-Rank Matrix Approximation2
A Theory for Backtrack-Downweighted Walks2
Computing the Riemannian Logarithm on the Stiefel Manifold: Metrics, Methods, and Performance2
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality2
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure2
High-Performance Computation of the Exponential of a Large Sparse Matrix2
XTrace: Making the Most of Every Sample in Stochastic Trace Estimation2
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor2
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
$(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials2
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair2
Asymptotic Spectral Properties of the Hilbert \(L\) -Matrix2
Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames2
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis2
Regularization by Inexact Krylov Methods with Applications to Blind Deblurring2
Robust Eigenvectors of Symmetric Tensors2
Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite $\mathcal{H}^2$ Matrices2
Stability of Linear GMRES Convergence with Respect to Compact Perturbations2
Fast Interpolation-Based Globality Certificates for Computing Kreiss Constants and the Distance to Uncontrollability2
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition2
Eigenvalue Embedding of Damped Vibroacoustic System with No-Spillover2
Matrix-Analytic Methods for Solving Poisson’s Equation with Applications to Markov Chains of GI/G/1-Type1
Estimating Leverage Scores via Rank Revealing Methods and Randomization1
Locating Conical Degeneracies in the Spectra of Parametric Self-adjoint Matrices1
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain1
Takagi Factorization of Matrices Depending on Parameters and Locating Degeneracies of Singular Values1
A Bootstrap Multigrid Eigensolver1
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization1
Estimation of Structured Distances to Singularity for Matrix Pencils with Symmetry Structures: A Linear Algebra--Based Approach1
RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression1
Partial Identifiability for Nonnegative Matrix Factorization1
Approximate Generalized Inverses with Iterative Refinement for $\epsilon$-Accurate Preconditioning of Singular Systems1
A Multishift, Multipole Rational QZ Method with Aggressive Early Deflation1
An Edge Centrality Measure Based on the Kemeny Constant1
A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations1
Accurate Computation of Generalized Eigenvalues of Regular SR-BP Pairs1
Randomized Nyström Preconditioning1
Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices1
An Apocalypse-Free First-Order Low-Rank Optimization Algorithm with at Most One Rank Reduction Attempt per Iteration1
Subspace Recycling--Based Regularization Methods1
Randomized Low-Rank Approximation of Monotone Matrix Functions1
Maximal Rank of ${m}\times{n}\times 2$ Tensors over Arbitrary Fields1
Johnson–Lindenstrauss Embeddings with Kronecker Structure1
A Higher-Order Generalized Singular Value Decomposition for Rank-Deficient Matrices1
Kron Reduction and Effective Resistance of Directed Graphs1
Verified Error Bounds for All Eigenvalues and Eigenvectors of a Matrix1
A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems1
Nonlinearizing Two-parameter Eigenvalue Problems1
Tensor-Structured Sketching for Constrained Least Squares1
Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning1
Householder Orthogonalization with a Nonstandard Inner Product1
Structured Inversion of the Bernstein--Vandermonde Matrix1
Diagonal Scalings for the Eigenstructure of Arbitrary Pencils1
Rank-Structured QR for Chebyshev Rootfinding1
A Measure Concentration Effect for Matrices of High, Higher, and Even Higher Dimension1
Solving Singular Generalized Eigenvalue Problems. Part II: Projection and Augmentation1
Krylov-Aware Stochastic Trace Estimation1
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps1
Border Rank Nonadditivity for Higher Order Tensors1
Infinite GMRES for Parameterized Linear Systems1
Exactly Solving Sparse Rational Linear Systems via Roundoff-Error-Free Cholesky Factorizations1
Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple1
Sensitivity of Matrix Function Based Network Communicability Measures: Computational Methods and A Priori Bounds1
Twice Is Enough for Dangerous Eigenvalues1
Simultaneous Diagonalization via Congruence of Hermitian Matrices: Some Equivalent Conditions and a Numerical Solution1
New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition1
Finding the Least Element of a Nonnegative Solution Set of a Class of Polynomial Inequalities1
Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides1
Fifty Three Matrix Factorizations: A Systematic Approach1
Linearizable Eigenvector Nonlinearities1
Computing the Square Root of a Low-Rank Perturbation of the Scaled Identity Matrix1
Five-Precision GMRES-Based Iterative Refinement1
An Efficient Algorithm for Integer Lattice Reduction1
Analyzing the Influence of Agents in Trust Networks: Applying Nonsmooth Eigensensitivity Theory to a Graph Centrality Problem1
Deflation for the Symmetric Arrowhead and Diagonal-Plus-Rank-One Eigenvalue Problems1
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