Composite orthogonal projection methods for large matrix eigenproblems

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Cite
Jia, Zhongxiao. “Composite Orthogonal Projection Methods for Large Matrix Eigenproblems”. Science in China Series A: Mathematics, vol. 42, no. 6, 1989, pp. 577-85, https://doi.org/10.1007/bf02880075.
Jia, Z. (1989). Composite orthogonal projection methods for large matrix eigenproblems. Science in China Series A: Mathematics, 42(6), 577-585. https://doi.org/10.1007/bf02880075
Jia Z. Composite orthogonal projection methods for large matrix eigenproblems. Science in China Series A: Mathematics. 1989;42(6):577-85.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1016/S0024-3795(97)00023-2 Linear Algebra and its Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1998
Generalized block Lanczos methods for large unsymmetric eigenproblems Numerische Mathematik
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
17 1998
10.1016/S0024-3795(96)00238-8 Linear Algebra and its Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1997
10.1137/S0895479894270427 SIAM Journal on Matrix Analysis and Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1996
10.1137/S0895479893246753 SIAM Journal on Matrix Analysis and Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1995
Refrences Analysis
The category Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 7 is the most frequently represented among the references in this article. It primarily includes studies from Linear Algebra and its Applications The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year