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A two-parameter block triangular preconditioner for double saddle point problem arising from liquid crystal directors modeling

Zhu, Jun-Li ; Wu, Yu-Jiang ; Yang, Ai-Li

Numerical algorithms, 2022-03, Vol.89 (3), p.987-1006 [Periódico revisado por pares]

New York: Springer US

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Título:
A two-parameter block triangular preconditioner for double saddle point problem arising from liquid crystal directors modeling
Autor: Zhu, Jun-Li ; Wu, Yu-Jiang ; Yang, Ai-Li
Assuntos: Algebra ; Algorithms ; Computer Science ; Crystals ; Efficiency ; Eigenvalues ; Iterative methods ; Lagrange multiplier ; Liquid crystals ; Mathematical models ; Numeric Computing ; Numerical Analysis ; Original Paper ; Parameters ; Polynomials ; Saddle points ; Theory of Computation ; Upper bounds
É parte de: Numerical algorithms, 2022-03, Vol.89 (3), p.987-1006
Descrição: To improve the performance of block triangular (BT) preconditioner, we develop a two-parameter BT (TPBT) preconditioner for a double saddle point problem arising from liquid crystal directors modeling. Theoretical analysis shows that all the eigenvalues of the TPBT preconditioned coefficient matrix are real and located in an interval (0, 2) no matter which value the spectral radius of matrix D − 1 C A − 1 C T is chosen. Moreover, an upper bound of the degree of the minimal polynomial of the TPBT preconditioned coefficient matrix is also obtained. Inasmuch as the efficiency of the TPBT preconditioner depends on the values of its parameters, we further derive a class of fast and effective formulas to compute the quasi-optimal values of the parameters involved in the TPBT preconditioner. Finally, numerical results are reported to illustrate the feasibility and the efficiency of the TPBT preconditioner.
Editor: New York: Springer US
Idioma: Inglês

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A two-parameter block triangular preconditioner for double saddle point problem arising from liquid crystal directors modeling

Zhu, Jun-Li ; Wu, Yu-Jiang ; Yang, Ai-Li

New York: Springer US

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