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Open Access Library Journal
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Open Access Library Journal
ISSN Print:
2333-9705
ISSN Online:
2333-9721
www.scirp.net/journal/oalibj
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[email protected]
Google-based Impact Factor:
1.18
Citations
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"
Generalized Shift-Splitting Preconditioner for Saddle Point Problems with Block Three-by-Three Structure
"
written by
Linna Wang, Ke Zhang
,
published by
Open Access Library Journal
,
Vol.6 No.12, 2019
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
A class of new extended generalized shift-splitting preconditioners for block saddle point problems
Journal of Applied Mathematics and Computing
,
2024
[2]
A modified preconditioner for three-by-three block saddle point problems
Japan Journal of Industrial and Applied Mathematics
,
2024
[3]
A robust parameterized enhanced shift-splitting preconditioner for three-by-three block saddle point problems
arXiv preprint arXiv:2402.17357
,
2024
[4]
A new block triangular preconditioner for three-by-three block saddle-point problem
Applications of Mathematics
,
2024
[5]
On the preconditioned APSS iterative method for singular coupled saddle point problems
Mathematical Communications
,
2024
[6]
A simplified relaxed alternating positive semi-definite splitting preconditioner for saddle point problems with three-by-three block structure
Journal of Applied Mathematics and Computing
,
2023
[7]
Extensive generalized shift-splitting preconditioner for 3× 3 block saddle point problems
Applied Mathematics Letters
,
2023
[8]
Lopsided shift-splitting preconditioner for saddle point problems with three-by-three structure
Computational and Applied Mathematics
,
2022
[9]
Semi-convergence of the APSS method for a class of nonsymmetric three-by-three singular saddle point problems
arXiv preprint arXiv:2208.00814
,
2022
[10]
An alternating positive semidefinite splitting preconditioner for the three-by-three block saddle point problems
2021
[1]
A class of new extended generalized shift-splitting preconditioners for $$3\times 3$$ block saddle point problems
Journal of Applied Mathematics and Computing
,
2024
DOI:
10.1007/s12190-024-02061-z
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