scholarly journals Low memory and low complexity iterative schemes for a nonsymmetric algebraic Riccati equation arising from transport theory

2013 ◽  
Vol 250 ◽  
pp. 175-189 ◽  
Author(s):  
Bo Yu ◽  
Dong-Hui Li ◽  
Ning Dong
2017 ◽  
Vol 9 (4) ◽  
pp. 944-963 ◽  
Author(s):  
Ning Dong ◽  
Jicheng Jin ◽  
Bo Yu

AbstractIn this paper, we analyse the convergence rates of several different predictor-corrector iterations for computing the minimal positive solution of the nonsymmetric algebraic Riccati equation arising in transport theory. We have shown theoretically that the new predictor-corrector iteration given in [Numer. Linear Algebra Appl., 21 (2014), pp. 761–780] will converge no faster than the simple predictor-corrector iteration and the nonlinear block Jacobi predictor-corrector iteration. Moreover the last two have the same asymptotic convergence rate with the nonlinear block Gauss-Seidel iteration given in [SIAM J. Sci. Comput., 30 (2008), pp. 804–818]. Preliminary numerical experiments have been reported for the validation of the developed comparison theory.


2019 ◽  
Vol 281 ◽  
pp. 05005
Author(s):  
Rola El Moallem ◽  
Hassane Sadok

This paper proposes three different ways of applying a vector extrapolation method to a slow converging vector sequence to accelerate the convergence. The solution of this vector sequence is used to solve an algebraic Riccati equation in transport theory. A numerical example is presented to compare the three applications.


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