2019
DOI: 10.4208/eajam.120518.231218
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A Generalised CRI Iteration Method for Complex Symmetric Linear Systems

Abstract: A generalisation of the combination method of real and imaginary parts for complex symmetric linear systems based on the introduction of an additional parameter is proposed. Sufficient conditions for the convergence of the method are derived. Numerical examples show the efficiency of this algorithm.

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Cited by 3 publications
(1 citation statement)
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“…Complex nonsymmetric algebraic Riccati equations (NAREs) arise in many applied fields, such as the transient analysis of Markov modulated fluid flow model [23], openloop Nash equilibrium of linear quadratic differential games [13], applied probability [11] and transport theory [15], and other applications [20,24]. Here we consider a Markov modulated fluid flow {(F (t), J(t)) : t ≥ 0}, where F (t) and J(t) denote the fluid level in a container and the state of a Markov chain modulating the fluid process at time t, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Complex nonsymmetric algebraic Riccati equations (NAREs) arise in many applied fields, such as the transient analysis of Markov modulated fluid flow model [23], openloop Nash equilibrium of linear quadratic differential games [13], applied probability [11] and transport theory [15], and other applications [20,24]. Here we consider a Markov modulated fluid flow {(F (t), J(t)) : t ≥ 0}, where F (t) and J(t) denote the fluid level in a container and the state of a Markov chain modulating the fluid process at time t, respectively.…”
Section: Introductionmentioning
confidence: 99%