2020
DOI: 10.1016/j.cam.2020.112768
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On the semigroup property for some structured iterations

Abstract: Nonlinear matrix equations play a crucial role in science and engineering problems. However, solutions of nonlinear matrix equations cannot, in general, be given analytically. One standard way of solving nonlinear matrix equations is to apply the fixed-point iteration with usually only the linear convergence rate. To advance the existing methods, we exploit in this work one type of semigroup property and use this property to propose a technique for solving the equations with the speed of convergence of any des… Show more

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Cited by 6 publications
(10 citation statements)
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“…In this section, for any integer r > 1, we first show that an accelerated of fixed-point iteration (referred as AFPI) with R-superlinear convergence order r is capable of computing the minimal positive semidefinite solution of equation (1). It has been proved in [13,3] that if ρ(T X ) < 1 the AFPI has convergence rate of any desired order r. We verify that the convergence speed remains invariant even ρ(T X ) ≥ 1. It is worth mentioning that AFPI includes SDA as a special r = 2 case [13], so that the quadratic convergence of SDA when ρ(T X ) ≥ 1 still holds and this acts as a complementary to the existing results on the convergence of SDA.…”
Section: An Accelerated Iteration and Numerical Experimentsmentioning
confidence: 60%
See 4 more Smart Citations
“…In this section, for any integer r > 1, we first show that an accelerated of fixed-point iteration (referred as AFPI) with R-superlinear convergence order r is capable of computing the minimal positive semidefinite solution of equation (1). It has been proved in [13,3] that if ρ(T X ) < 1 the AFPI has convergence rate of any desired order r. We verify that the convergence speed remains invariant even ρ(T X ) ≥ 1. It is worth mentioning that AFPI includes SDA as a special r = 2 case [13], so that the quadratic convergence of SDA when ρ(T X ) ≥ 1 still holds and this acts as a complementary to the existing results on the convergence of SDA.…”
Section: An Accelerated Iteration and Numerical Experimentsmentioning
confidence: 60%
“…It has been proved in [13,3] that if ρ(T X ) < 1 the AFPI has convergence rate of any desired order r. We verify that the convergence speed remains invariant even ρ(T X ) ≥ 1. It is worth mentioning that AFPI includes SDA as a special r = 2 case [13], so that the quadratic convergence of SDA when ρ(T X ) ≥ 1 still holds and this acts as a complementary to the existing results on the convergence of SDA.…”
Section: An Accelerated Iteration and Numerical Experimentsmentioning
confidence: 60%
See 3 more Smart Citations