Yunhui He

Orcid: 0000-0003-3476-2487

According to our database1, Yunhui He authored at least 37 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Anderson Acceleration as a Krylov Method with Application to Convergence Analysis.
J. Sci. Comput., April, 2024

2023
Block Preconditioners for the Marker-and-Cell Discretization of the Stokes-Darcy Equations.
SIAM J. Matrix Anal. Appl., December, 2023

A Vanka-based parameter-robust multigrid relaxation for the Stokes-Darcy Brinkman problems.
Numer. Linear Algebra Appl., December, 2023

A closed-form multigrid smoothing factor for an additive Vanka-type smoother applied to the Poisson equation.
Numer. Linear Algebra Appl., October, 2023

Local Fourier Analysis of p-Multigrid for High-Order Finite Element Operators.
SIAM J. Sci. Comput., June, 2023

Monolithic Multigrid for a Reduced-Quadrature Discretization of Poroelasticity.
SIAM J. Sci. Comput., June, 2023

Smoothing Analysis of Two Robust Multigrid Methods for Elliptic Optimal Control Problems.
SIAM J. Matrix Anal. Appl., March, 2023

Optimal smoothing factor with coarsening by a factor of three for the MAC scheme for the Stokes equations.
Comput. Math. Appl., February, 2023

A novel multigrid method for elliptic distributed control problems.
J. Comput. Appl. Math., 2023

Novel mass-based multigrid relaxation schemes for the Stokes equations.
Appl. Math. Comput., 2023

2022
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis.
SIAM J. Matrix Anal. Appl., December, 2022

Low-order preconditioning of the Stokes equations.
Numer. Linear Algebra Appl., 2022

Optimized sparse approximate inverse smoothers for solving Laplacian linear systems.
CoRR, 2022

Parameter-robust Braess-Sarazin-type smoothers for linear elasticity problems.
CoRR, 2022

Optimal smoothing factor with coarsening by three for the MAC scheme for the Stokes equations.
CoRR, 2022

A Vanka-type multigrid solver for complex-shifted Laplacian systems from diagonalization-based parallel-in-time algorithms.
Appl. Math. Lett., 2022

2021
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES.
SIAM J. Sci. Comput., 2021

Local Fourier Analysis of Multigrid for Hybridized and Embedded Discontinuous Galerkin Methods.
SIAM J. Sci. Comput., 2021

Tuning Multigrid Methods with Robust Optimization and Local Fourier Analysis.
SIAM J. Sci. Comput., 2021

A Generalized and Unified Framework of Local Fourier Analysis Using Matrix-Stencils.
SIAM J. Matrix Anal. Appl., 2021

Independence of placement for local Fourier analysis.
Numer. Linear Algebra Appl., 2021

A local Fourier analysis of additive Vanka relaxation for the Stokes equations.
Numer. Linear Algebra Appl., 2021

On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM.
J. Sci. Comput., 2021

A note on using the mass matrix as a preconditioner for the Poisson equation.
CoRR, 2021

Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis.
CoRR, 2021

2020
Two-level Fourier analysis of multigrid for higher-order finite-element discretizations of the Laplacian.
Numer. Linear Algebra Appl., 2020

Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM.
CoRR, 2020

Tuning Multigrid Methods with Robust Optimization.
CoRR, 2020

2019
Local Fourier Analysis of Balancing Domain Decomposition By Constraints Algorithms.
SIAM J. Sci. Comput., 2019

Local Fourier analysis for mixed finite-element methods for the Stokes equations.
J. Comput. Appl. Math., 2019

Vector-potential finite-element formulations for two-dimensional resistive magnetohydrodynamics.
Comput. Math. Appl., 2019

2018
Local Fourier analysis of block-structured multigrid relaxation schemes for the Stokes equations.
Numer. Linear Algebra Appl., 2018

2011
Class-Incremental Kernel Discriminative Common Vectors.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2009
Modified Generalized Discriminant Analysis Using Kernel Gram-Schmidt Orthogonalization in Difference Space for Face Recognition.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

2008
Modified Generalized Discriminant Analysis Using Orthogonalization in Feature Space and Difference Space.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2006
Face recognition using common faces method.
Pattern Recognit., 2006

2005
Face Recognition Based on PCA/KPCA Plus CCA.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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