Hua XIANG
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Personal Information
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):Xiang Hua
- E-Mail:
- Date of Employment:2005-12-07
- Education Level:研究生毕业
- Business Address:老外楼301
- Gender:Male
- Status:Employed
- Teacher College:School of Mathematics and Statistics
Other Contact Information
- email:
- [1]. H. Wang , S. Yu and H. Xiang. Efficient quantum algorithm for solving structured problems via multistep quantum computation. Physical Review Research, 5, L012004 (2023).
- [2]. L. Cui , Z. Wu and H. Xiang. Quantum radial basis function method for scattered data interpolation. Quantum Information Processing, 22:84 (2023).
- [3]. Y. Wang , H. Xiang and S. Zhang. Quantum algorithm for matrix logarithm by integral formula. Quantum Information Processing, 22:76 (2023).
- [4]. N. Wu and H. Xiang. On the generally randomized extended Gauss-Seidel method. Applied Numerical Mathematics 172 (2022) 382–392.
- [5]. L. Zhang , M. J. Zhao , L. Chen , H. Xiang and Y. Shen. A characterization of entangled two-qubit states via partial-transpose-moments. Annalender Physik, 2022, 2200289.
- [6]. Nianci Wu and Hua Xiang. Convergence analyses based on frequency decomposition for the randomized row iterative method. Inverse Problems 37 (2021) 105004.
- [7]. Nianci Wu and Hua Xiang. Projected randomized Kaczmarz methods. Journal of Computational and Applied Mathematics, vol. 372, 112672 (2020).
- [8]. Ying Liang , Hua Xiang , Shiyang Zhang and Jun Zou. Preconditioners and their analyses for edge element saddle-point systems arising from time-harmonic Maxwell's equations. Numerical Algorithms (2021) 86:281–302.
- [9]. Lin Zhang and Hua Xiang. A variant of Horn's problem and the derivative principle. Linear Algebra and its Applications, 584 (2020) 79–106.
- [10]. Q. Zuo , C. Shao , N. Wu and H. Xiang. An Extended Row and Column Method for Solving Linear Systems on a Quantum Computer. International Journal of Theoretical Physics (2021) 60:2592–2603.
- [11]. Changpeng Shao and Hua Xiang. Quantum regularized least squares solver with parameter estimate. Quantum Information Processing (2020) 19:113.
- [12]. Changpeng Shao and Hua Xiang. Row and column iteration methods to solve linear systems on a quantum computer. Physical Review A, 101, 022322 (2020).
- [13]. Hefeng Wang and Hua Xiang. Quantum algorithms for total least squares data fitting. Physical Letter A, 383(2019):2235-2240.
- [14]. Hefeng Wang and Hua Xiang. A quantum eigensolver for symmetric tridiagonal matrices. Quantum Information Processing (2019) 18:93.
- [15]. Changpeng Shao and Hua Xiang. Quantum circulant preconditioner for linear system of equations. Physical Review A.
- [16]. H. Xiang , L. Qi and Y. Wei. M-eigenvalues of the Riemann curvature tensor. Communications in Mathematical Sciences.
- [17]. James W. Demmel , Laura Grigori , Ming Gu and Hua Xiang. Communication avoiding rank revealing QR factorization with column pivoting. SIAM Journal on Matrix Analysis and Applications. 36 (1). 55-89. 2015.
- [18]. P. Have , R. Masson , F. Nataf , M. Szydlarski , H. Xiang and T. Zhao. Algebraic domain decomposition methods for highly heterogeneous problems. SIAM Journal on Scientific Computing.
- [19]. Laura Grigori , James W. Demmel and Hua Xiang. CALU: a communication optimal LU factorization algorithm. SIAM Journal on Matrix Analysis and Applications.
- [20]. F. Nataf , H. Xiang , V. Dolean and N. Spillane. A coarse space construction based on local Dirichlet-to-Neumann maps. SIAM Journal on Scientific Computing.
- [21]. H. Xiang and Y. Wei. On normwise structured backward errors for saddle point systems. SIAM Journal on Matrix Analysis and Applications.
- [22]. H. Xiang and J. Zou. Randomized algorithms for large-scale inverse problems with general Tikhonov regularizations. INVERSE PROBLEMS. 31 (8). 2015.
- [23]. H. Xiang and J. Zou. Regularization with randomized SVD for large-scale discrete inverse problems. INVERSE PROBLEMS. 29 (8). 2013.
- [24]. H. Xiang and F. Nataf. Two-level algebraic domain decomposition preconditioners using Jacobi-Schwarz smoother and adaptive coarse grid corrections. Journal of Computational and Applied Mathematics 261 (2014) 1–13. 261. 2014.
- [25]. Hua Xiang and Laura Grigori. Kronecker product approximation preconditioners for convection-diffusion model problems. Numer. Linear Algebra Appl. 2010; 17:691–712. 17 (4). 2010.
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