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20142021
most citedQuantum Circulant Preconditioner for Linear System of Equations

30 citations · 85 across the 15 of their papers we have counts for

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7 papers · 1 filter

math.NA2021

Quantum radial basis function methods for scattered data fitting

Lingxia Cui, Hua Xiang

Scattered data fitting is a frequently encountered problem for reconstructing an unknown function from given scattered data. Radial basis function (RBF) methods have proven to be h…

math.NA2021★ 2 cited

A quantum-inspired algorithm for approximating statistical leverage scores

Qian Zuo, Hua Xiang

Suppose a matrix of rank with singular value decomposition , where , $V_{A} \in \ma…

math.NA2018

Randomized QLP algorithm and error analysis

Nianci Wu, Hua Xiang

In this paper, we describe the randomized QLP (RQLP) algorithm and its enhanced version (ERQLP) for computing the low rank approximation to of size efficiently such…

math.NA2016

Preconditioners and Their Analyses for Edge Element Saddle-point Systems Arising from Time-harmonic Maxwell Equations

Hua Xiang, Shiyang Zhang, Jun Zou

We shall propose and analyze some new preconditioners for the saddle-point systems arising from the edge element discretization of the time-harmonic Maxwell equations in three dime…

math.NA2014

Adaptive Uzawa algorithm for nonsymmetric generalized saddle point problem

Hailun Shen, Hua Xiang

In this paper, we extend the inexact Uzawa algorithm in [Q. Hu, J. Zou, SIAM J. Matrix Anal., 23(2001), pp. 317-338] to the nonsymmetric generalized saddle point problem. The techn…

math.NA2014

An Inexact Uzawa Algorithm for Generalized Saddle-Point Problems and Its Convergence

Kazufumi Ito, Hua Xiang, Jun Zou

We propose an inexact Uzawa algorithm with two variable relaxation parameters for solving the generalized saddle-point system. The saddle-point problems can be found in a wide clas…

math.NA2014★ 6 cited

Perturbation Analysis and Randomized Algorithms for Large-Scale Total Least Squares Problems

Pengpeng Xie, Yimin Wei, Hua Xiang

In this paper, we present perturbation analysis and randomized algorithms for the total least squares (TLS) problems. We derive the perturbation bound and check its sharpness by nu…