Hua Dai

Orcid: 0000-0003-2983-8627

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, Department of Mathematics, China
  • Nanjing University, Department of Mathematics, China (PhD 1988)


According to our database1, Hua Dai authored at least 18 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
A Global Rational Krylov Subspace Algorithm for Solving Large-Scale Lyapunov Matrix Equation.
Numer. Linear Algebra Appl., 2025

2020
Exponential sparsity preserving projection with applications to image recognition.
Pattern Recognit., 2020

Regularized least squares locality preserving projections with applications to image recognition.
Neural Networks, 2020

A novel projected gradient-like method for optimization problems with simple constraints.
Comput. Appl. Math., 2020

2017
A new block preconditioner for complex symmetric indefinite linear systems.
Numer. Algorithms, 2017

A new iterative method for solving complex symmetric linear systems.
Appl. Math. Comput., 2017

2016
An inverse eigenvalue problem for the finite element model of a vibrating rod.
J. Comput. Appl. Math., 2016

Inexact splitting-based block preconditioners for block two-by-two linear systems.
Appl. Math. Lett., 2016

Stability analysis of time-delay systems using a contour integral method.
Appl. Math. Comput., 2016

2015
On the Solvability Condition and Numerical Algorithm for the Parameterized Generalized Inverse Eigenvalue Problem.
SIAM J. Matrix Anal. Appl., 2015

A new quasi-minimal residual method based on a biconjugate A-orthonormalization procedure and coupled two-term recurrences.
Numer. Algorithms, 2015

A transpose-free quasi-minimal residual variant of the CORS method for solving non-Hermitian linear systems.
J. Comput. Phys., 2015

A new splitting preconditioner for the iterative solution of complex symmetric indefinite linear systems.
Appl. Math. Lett., 2015

An inverse eigenvalue problem for Jacobi matrix.
Appl. Math. Comput., 2015

A novel numerical method to determine the algebraic multiplicity of nonlinear eigenvalues.
Appl. Math. Comput., 2015

2011
A new family of global methods for linear systems with multiple right-hand sides.
J. Comput. Appl. Math., 2011

2010
Generalized global conjugate gradient squared algorithm.
Appl. Math. Comput., 2010

Preface.
Appl. Math. Comput., 2010


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