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Zhongxiao Jia

44 papers hereh-index 201.5k citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author9
  • first author24
  • middle author1
  • last author10

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • math.NA44
same name
  • Zhongxiao Jia — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedOn the Condition Number of the Total Least Squares Problem

28 citations · 222 across the 42 of their papers we have counts for

collaborators
Showing 2011 · math.NAShow all

4 papers · 2 filters

math.NA2011★ 28 cited

On the Condition Number of the Total Least Squares Problem

Zhongxiao Jia, Bingyu Li

This paper concerns singular value decomposition (SVD)-based computable formulas and bounds for the condition number of the Total Least Squares (TLS) problem. For the TLS problem w…

math.NA2011★ 5 cited

On the Convergence of Ritz Pairs and Refined Ritz Vectors for Quadratic Eigenvalue Problems

Tsung-Ming Huang, Zhongxiao Jia, Wen-Wei Lin

For a given subspace, the Rayleigh-Ritz method projects the large quadratic eigenvalue problem (QEP) onto it and produces a small sized dense QEP. Similar to the Rayleigh-Ritz meth…

math.NA2011★ 26 cited

On Inner Iterations in the Shift-Invert Residual Arnoldi Method and the Jacobi--Davidson Method

Zhongxiao Jia, Cen Li

Using a new analysis approach, we establish a general convergence theory of the Shift-Invert Residual Arnoldi (SIRA) method for computing a simple eigenvalue nearest to a given tar…

math.NA2011★ 3 cited

A contribution to the condition number of the total least squares problem

Zhongxiao Jia, Bingyu Li

This paper concerns cheaply computable formulas and bounds for the condition number of the TLS problem. For a TLS problem with data A, b, two formulas are derived that are simp…

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