Mixed and componentwise condition numbers of nonsymmetric algebraic Riccati equation

2012 ◽  
Vol 218 (14) ◽  
pp. 7595-7601 ◽  
Author(s):  
Landong Liu
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.


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