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Guang-Xin Huang
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2020 – today
- 2024
- [j19]Qi-Xing Chen, Guang-Xin Huang
, Ming-Yue Zhang:
Preconditioned BiCGSTAB and BiCRSTAB methods for solving the Sylvester tensor equation. Appl. Math. Comput. 466: 128469 (2024) - [j18]Shuangyou Zhong, Guang-Xin Huang
:
An almost-maximal residual tensor block Kaczmarz method for large tensor linear systems. J. Comput. Appl. Math. 437: 115439 (2024) - [j17]Guang-Xin Huang, Shuangyou Zhong:
Tensor randomized extended Kaczmarz methods for large inconsistent tensor linear equations with t-product. Numer. Algorithms 96(4): 1755-1778 (2024) - 2022
- [j16]Guang-Xin Huang, Qi-Xing Chen, Feng Yin:
Preconditioned TBiCOR and TCORS algorithms for solving the Sylvester tensor equation. Appl. Math. Comput. 422: 126984 (2022) - [j15]Guang-Xin Huang
, Yuanyuan Liu, Feng Yin:
Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems. J. Comput. Appl. Math. 405: 113969 (2022) - 2021
- [i1]Guang-Xin Huang, Qi-Xing Chen, Feng Yin:
Preconditioned TBiCOR and TCORS Algorithms for Solving the Sylvester Tensor Equation. CoRR abs/2111.14006 (2021)
2010 – 2019
- 2019
- [j14]Guang-Xin Huang, Lothar Reichel, Feng Yin:
On the choice of subspace for large-scale Tikhonov regularization problems in general form. Numer. Algorithms 81(1): 33-55 (2019) - 2018
- [j13]Laura Dykes, Guang-Xin Huang
, Silvia Noschese
, Lothar Reichel
:
Regularization matrices for discrete ill-posed problems in several space dimensions. Numer. Linear Algebra Appl. 25(4) (2018) - 2016
- [j12]Guang-Xin Huang, Lothar Reichel, Feng Yin:
On the choice of solution subspace for nonstationary iterated Tikhonov regularization. Numer. Algorithms 72(4): 1043-1063 (2016) - 2015
- [j11]Jin-dong Li, Guang-Xin Huang:
On new subclass of meromorphic close-to-convex functions. Appl. Math. Comput. 266: 424-428 (2015) - 2014
- [j10]Feng Yin, Ke Guo, Guang-Xin Huang, Bormin Huang:
The inverse eigenproblem with a submatrix constraint and the associated approximation problem for (R, S)-symmetric matrices. J. Comput. Appl. Math. 268: 23-33 (2014) - 2013
- [j9]Feng Yin, Guang-Xin Huang:
Left and right inverse eigenvalue problem of (R, S)-symmetric matrices and its optimal approximation problem. Appl. Math. Comput. 219(17): 9261-9269 (2013) - 2012
- [j8]Feng Yin, Guang-Xin Huang:
An Iterative Algorithm for the Generalized Reflexive Solutions of the Generalized Coupled Sylvester Matrix Equations. J. Appl. Math. 2012: 152805:1-152805:28 (2012) - [j7]Deqin Chen, Feng Yin, Guang-Xin Huang:
An Iterative Algorithm for the Generalized Reflexive Solution of the Matrix Equations A X B = E, C X D = F. J. Appl. Math. 2012: 492951:1-492951:20 (2012) - 2011
- [j6]Guang-Xin Huang, Feng Yin:
An inverse eigenproblem and an associated approximation problem for generalized reflexive and anti-reflexive matrices. J. Comput. Appl. Math. 235(8): 2888-2895 (2011) - [j5]Guang-Xin Huang, Huafu Chen, Zhongli Zhou, Feng Yin, Ke Guo:
Two-class support vector data description. Pattern Recognit. 44(2): 320-329 (2011) - [c2]Feng Yin, Guang-Xin Huang:
Improved density-induced support vector data description. ICMLC 2011: 747-750 - 2010
- [j4]Guang-Xin Huang, Feng Yin, Huafu Chen, Ling Chen, Ke Guo:
Matrix inverse problem and its optimal approximation problem for R-skew symmetric matrices. Appl. Math. Comput. 216(12): 3515-3521 (2010) - [c1]Guang-Xin Huang, Huafu Chen, Feng Yin:
Improved support vector data description. ICMLC 2010: 1459-1463
2000 – 2009
- 2007
- [j3]Guang-Xin Huang, Feng Yin:
Constrained inverse eigenproblem and associated approximation problem for anti-Hermitian R-symmetric matrices. Appl. Math. Comput. 186(1): 426-434 (2007) - [j2]Guang-Xin Huang, Feng Yin:
Matrix inverse problem and its optimal approximation problem for R-symmetric matrices. Appl. Math. Comput. 189(1): 482-489 (2007) - [j1]Guang-Xin Huang, Feng Yin, Ke Guo:
The general solutions on the minimum residual problem and the matrix nearness problem for symmetric matrices or anti-symmetric matrices. Appl. Math. Comput. 194(1): 85-91 (2007)
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last updated on 2024-07-25 20:21 CEST by the dblp team
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