Yimin Wei
Orcid: 0000-0001-6192-0546Affiliations:
- Fudan University, School of Mathematical Sciences, Shanghai, China
According to our database1,
Yimin Wei
authored at least 238 papers
between 1996 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on scopus.com
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on orcid.org
On csauthors.net:
Bibliography
2025
Comput. Appl. Math., February, 2025
J. Comput. Appl. Math., 2025
2024
Adv. Comput. Math., October, 2024
Symmetry, September, 2024
Symmetry, September, 2024
J. Optim. Theory Appl., September, 2024
J. Optim. Theory Appl., August, 2024
Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering.
J. Glob. Optim., August, 2024
Comput. Appl. Math., April, 2024
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain.
SIAM J. Matrix Anal. Appl., March, 2024
Comput. Appl. Math., February, 2024
SIAM J. Matrix Anal. Appl., 2024
J. Comput. Appl. Math., 2024
CoRR, 2024
<i>M</i>-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors.
CoRR, 2024
Randomized algorithms for computing the tensor train approximation and their applications.
CoRR, 2024
QR Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain.
CoRR, 2024
2023
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network Based on Tensor T-product Operator.
Neural Process. Lett., December, 2023
J. Appl. Math. Comput., December, 2023
Randomized algorithms for the computation of multilinear rank-(μ <sub>1,μ</sub> <sub>2,μ</sub> <sub>3)</sub> approximations.
J. Glob. Optim., November, 2023
J. Comput. Appl. Math., November, 2023
Perturbations of Tensor-Schur decomposition and its applications to multilinear control systems and facial recognitions.
Neurocomputing, August, 2023
J. Appl. Math. Comput., June, 2023
AKCE Int. J. Graphs Comb., May, 2023
A Fixed Point Iterative Method for Third-order Tensor Linear Complementarity Problems.
J. Optim. Theory Appl., April, 2023
J. Optim. Theory Appl., April, 2023
Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method.
J. Comput. Appl. Math., 2023
Neurocomputing, 2023
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing.
CoRR, 2023
CoRR, 2023
2022
Generalized eigenvalue for even order tensors via Einstein product and its applications in multilinear control systems.
Comput. Appl. Math., December, 2022
Comput. Appl. Math., April, 2022
SIAM J. Matrix Anal. Appl., 2022
Numer. Linear Algebra Appl., 2022
Spurious eigenvalue-free algorithms of the method of fundamental solutions for solving the Helmholtz equation in bounded multiply connected domains.
Numer. Algorithms, 2022
J. Sci. Comput., 2022
J. Sci. Comput., 2022
J. Optim. Theory Appl., 2022
J. Optim. Theory Appl., 2022
J. Comput. Appl. Math., 2022
J. Comput. Appl. Math., 2022
J. Comput. Appl. Math., 2022
Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations.
Neurocomputing, 2022
Tensor Regularized Total Least Squares Methods with Applications to Image and Video Deblurring.
CoRR, 2022
Comput. Optim. Appl., 2022
Appl. Math. Comput., 2022
2021
Accelerated dynamical approaches for finding the unique positive solution of <i>K</i><i>S</i>-tensor equations.
Numer. Algorithms, 2021
An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition.
J. Sci. Comput., 2021
J. Optim. Theory Appl., 2021
J. Comput. Appl. Math., 2021
CoRR, 2021
2020
The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection.
SIAM J. Matrix Anal. Appl., 2020
Optim. Methods Softw., 2020
A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction.
Neural Process. Lett., 2020
Numer. Linear Algebra Appl., 2020
Global uniqueness and solvability of tensor complementarity problems for ℋ<sub>+</sub>-tensors.
Numer. Algorithms, 2020
Condition numbers of the multidimensional total least squares problems having more than one solution.
Numer. Algorithms, 2020
Numer. Algorithms, 2020
Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications.
J. Sci. Comput., 2020
Notes on the Optimization Problems Corresponding to Polynomial Complementarity Problems.
J. Optim. Theory Appl., 2020
J. Comput. Appl. Math., 2020
J. Comput. Appl. Math., 2020
J. Comput. Appl. Math., 2020
Neurocomputing, 2020
A contribution to condition numbers of the multidimensional total least squares problem with linear equality constraint.
CoRR, 2020
Comput. Optim. Appl., 2020
Comput. Optim. Appl., 2020
Appl. Math. Lett., 2020
M-eigenvalue intervals and checkable sufficient conditions for the strong ellipticity.
Appl. Math. Lett., 2020
2019
Optim. Lett., 2019
Numer. Linear Algebra Appl., 2019
Neurocomputing, 2019
Z-eigenvalues based structured tensors: $$\mathcal {M}_z$$-tensors and strong $$\mathcal {M}_z$$-tensors.
Comput. Appl. Math., 2019
Pseudospectra localizations for generalized tensor eigenvalues to seek more positive definite tensors.
Comput. Appl. Math., 2019
Appl. Math. Lett., 2019
Randomized algorithms for the approximations of Tucker and the tensor train decompositions.
Adv. Comput. Math., 2019
Proceedings of the Algebraic Informatics - 8th International Conference, 2019
2018
Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization.
J. Comput. Appl. Math., 2018
Geometric measures of entanglement in multipartite pure states via complex-valued neural networks.
Neurocomputing, 2018
Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix.
Neurocomputing, 2018
The Drazin inverse of an even-order tensor and its application to singular tensor equations.
Comput. Math. Appl., 2018
2017
Theor. Comput. Sci., 2017
SIAM J. Matrix Anal. Appl., 2017
Numer. Linear Algebra Appl., 2017
Numer. Algorithms, 2017
Numer. Algorithms, 2017
J. Comput. Appl. Math., 2017
Neurocomputing, 2017
Neural networks for computing best rank-one approximations of tensors and its applications.
Neurocomputing, 2017
2016
J. Optim. Theory Appl., 2016
Structured condition numbers of structured Tikhonov regularization problem and their estimations.
J. Comput. Appl. Math., 2016
Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications.
Neurocomputing, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
SIAM J. Sci. Comput., 2015
Numer. Linear Algebra Appl., 2015
Numer. Linear Algebra Appl., 2015
Numer. Linear Algebra Appl., 2015
Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse.
Neural Comput., 2015
On an iterative method for solving the least squares problem of rank-deficient systems.
Int. J. Comput. Math., 2015
Appl. Math. Comput., 2015
2014
J. Comput. Appl. Math., 2014
2013
Numer. Linear Algebra Appl., 2013
On condition numbers for Moore-Penrose inverse and linear least squares problem involving Kronecker products.
Numer. Linear Algebra Appl., 2013
Accelerating the Arnoldi-Type Algorithm for the PageRank Problem and the ProteinRank Problem.
J. Sci. Comput., 2013
J. Comput. Appl. Math., 2013
A preconditioned conjugate gradient algorithm for GeneRank with application to microarray data mining.
Data Min. Knowl. Discov., 2013
2012
IEEE Trans. Signal Process., 2012
IEEE Signal Process. Lett., 2012
Mixed, componentwise condition numbers and small sample statistical condition estimation of Sylvester equations.
Numer. Linear Algebra Appl., 2012
Lumping algorithms for computing Google's PageRank and its derivative, with attention to unreferenced nodes.
Inf. Retr., 2012
Proceedings of the Computer Mathematics, 2012
2011
Convergence of General Nonstationary Iterative Methods for Solving Singular Linear Equations.
SIAM J. Matrix Anal. Appl., 2011
Ill-conditioning of the truncated singular value decomposition, Tikhonov regularization and their applications to numerical partial differential equations.
Numer. Linear Algebra Appl., 2011
Condition numbers and perturbation analysis for the Tikhonov regularization of discrete ill-posed problems.
Numer. Linear Algebra Appl., 2011
Model-order reduction of <i>k</i>th order MIMO dynamical systems using block <i>k</i>th order Krylov subspaces.
Int. J. Comput. Math., 2011
2010
Arnoldi versus GMRES for computing pageRank: A theoretical contribution to google's pageRank problem.
ACM Trans. Inf. Syst., 2010
Matrix Sign Function Methods for Solving Projected Generalized Continuous-Time Sylvester Equations.
IEEE Trans. Autom. Control., 2010
Sharp Norm-Estimations for Moore-Penrose Inverses of Stable Perturbations of Hilbert C<sup>*</sup>-Module Operators.
SIAM J. Numer. Anal., 2010
On Analysis of Projection Methods for Rational Function Approximation to the Matrix Exponential.
SIAM J. Numer. Anal., 2010
On the convergence of general stationary iterative methods for range-Hermitian singular linear systems.
Numer. Linear Algebra Appl., 2010
Krylov Subspace Algorithms for Computing GeneRank for the Analysis of Microarray Data Mining.
J. Comput. Biol., 2010
J. Comput. Appl. Math., 2010
Int. J. Comput. Math., 2010
Model-order reduction of large-scale <i>k</i>th-order linear dynamical systems via a <i>k</i>th-order Arnoldi method.
Int. J. Comput. Math., 2010
2009
SIAM J. Matrix Anal. Appl., 2009
Numer. Linear Algebra Appl., 2009
Effective condition number of Trefftz methods for biharmonic equations with crack singularities.
Numer. Linear Algebra Appl., 2009
Numer. Algorithms, 2009
Restarted generalized Krylov subspace methods for solving large-scale polynomial eigenvalue problems.
Numer. Algorithms, 2009
J. Comput. Appl. Math., 2009
Comput. Math. Appl., 2009
Perturbation analysis and condition numbers of symmetric algebraic Riccati equations.
Autom., 2009
2008
SIAM J. Matrix Anal. Appl., 2008
Comput. Math. Appl., 2008
Comput. Math. Appl., 2008
An Algorithm for Solving Scaled Total Least Squares Problems.
Proceedings of the 2008 International Conference on Scientific Computing, 2008
2007
IEEE Trans. Autom. Control., 2007
SIAM J. Matrix Anal. Appl., 2007
Numer. Linear Algebra Appl., 2007
On Frobenius normwise condition numbers for Moore-Penrose inverse and linear least-squares problems.
Numer. Linear Algebra Appl., 2007
On mixed and componentwise condition numbers for Moore-Penrose inverse and linear least squares problems.
Math. Comput., 2007
Condition numbers for linear systems and Kronecker product linear systems with multiple right-hand sides.
Int. J. Comput. Math., 2007
Model-order reduction of large-scale second-order MIMO dynamical systems via a block second-order Arnoldi method.
Int. J. Comput. Math., 2007
Appl. Math. Lett., 2007
Appl. Math. Lett., 2007
2006
Numer. Linear Algebra Appl., 2006
Appl. Math. Comput., 2006
Appl. Math. Comput., 2006
Appl. Math. Comput., 2006
Appl. Math. Comput., 2006
Appl. Math. Comput., 2006
Appl. Math. Comput., 2006
A modified simple iterative method for nonsymmetric algebraic Riccati equations arising in transport theory.
Appl. Math. Comput., 2006
2005
A Perturbation Bound of the Drazin Inverse of a Matrix by Separation of Simple Invariant Subspaces.
SIAM J. Matrix Anal. Appl., 2005
SIAM J. Matrix Anal. Appl., 2005
Circulant preconditioners for solving singular perturbation delay differential equations.
Numer. Linear Algebra Appl., 2005
A note on the componentwise perturbation bounds of matrix inverse and linear systems.
Appl. Math. Comput., 2005
Appl. Math. Comput., 2005
2004
Math. Comput. Model., 2004
Preconditioned conjugate gradient method and generalized successive over relaxation method for the weighted least squares problems.
Int. J. Comput. Math., 2004
DFOM algorithm and error analysis for projection methods for solving singular linear system.
Appl. Math. Comput., 2004
A note on the representation and approximation of the outer inverse A<sub>T, S</sub><sup>(2)</sup> of a matrix A.
Appl. Math. Comput., 2004
Appl. Math. Comput., 2004
Appl. Math. Comput., 2004
Appl. Math. Comput., 2004
Appl. Math. Comput., 2004
Appl. Math. Comput., 2004
2003
Numer. Linear Algebra Appl., 2003
Appl. Math. Comput., 2003
Perturbation bounds for the generalized inverses A<sub>T, S</sub><sup>(2)</sup> with application to constrained linear system.
Appl. Math. Comput., 2003
Appl. Math. Comput., 2003
Condition number of Drazin inverse and their condition numbers of singular linear systems.
Appl. Math. Comput., 2003
Appl. Math. Comput., 2003
The representation and approximation for the generalized inverse A<sub>T, S</sub><sup>(2)</sup>.
Appl. Math. Comput., 2003
Condition numbers and perturbation of the weighted Moore-Penrose inverse and weighted linear least squares problem.
Appl. Math. Comput., 2003
The representation and approximation of the Drazin inverse of a linear operator in Hilbert space.
Appl. Math. Comput., 2003
Appl. Math. Comput., 2003
On integral representation of the generalized inverse A<sub>T, S</sub><sup>(2)</sup>.
Appl. Math. Comput., 2003
The representation and approximation for the weighted Moore-Penrose inverse in Hilbert space.
Appl. Math. Comput., 2003
The representation and approximation of the W-weighted Drazin inverse of linear operators in Hilbert space.
Appl. Math. Comput., 2003
A note on the sensitivity of the solution of the weighted linear least squares problem.
Appl. Math. Comput., 2003
2002
On the use of incomplete semiiterative methods for singular systems and applications in Markov chain modeling.
Appl. Math. Comput., 2002
PCR algorithm for parallel computing minimum-norm (T) least-squares (S) solution of inconsistent linear equations.
Appl. Math. Comput., 2002
A characterization for the W-weighted Drazin inverse and a Cramer rule for the W-weighted Drazin inverse solution.
Appl. Math. Comput., 2002
Appl. Math. Comput., 2002
Appl. Math. Comput., 2002
2001
(<i>T</i>, <i>S</i>) splitting methods for computing the generalized inverse and rectangular systems.
Int. J. Comput. Math., 2001
Appl. Math. Lett., 2001
Appl. Math. Comput., 2001
2000
Int. J. Comput. Math., 2000
Appl. Math. Lett., 2000
Successive matrix squaring algorithm for parallel computing the weighted generalized inverse A<sub>MN</sub><sup>+</sup>.
Appl. Math. Comput., 2000
Appl. Math. Comput., 2000
The Drazin inverse of updating of a square matrix with application to perturbation formula.
Appl. Math. Comput., 2000
Appl. Math. Comput., 2000
1999
Appl. Math. Comput., 1999
1998
SIAM J. Matrix Anal. Appl., July, 1998
Appl. Math. Comput., 1998
1996
SIAM J. Matrix Anal. Appl., 1996