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Sequential and parallel synchronous alternating iterative methods
Authors:Joan-Josep Climent  Carmen Perea  Leandro Tortosa  Antonio Zamora
Institution:Departament de Ciència de la Computació i Intel$·$ligència Artificial, Universitat d'Alacant, Ap. Correus 99, E--03080 Alacant, Spain ; Departamento de Estadística y Matemática Aplicada, Universidad Miguel Hernández, Escuela Politécnica Superior de Orihuela, E-03550, Orihuela, Spain ; Departament de Ciència de la Computació i Intel$·$ligència Artificial, Universitat d'Alacant, Ap. Correus 99, E--03080 Alacant, Spain ; Departament de Ciència de la Computació i Intel$·$ligència Artificial, Universitat d'Alacant, Ap. Correus 99, E--03080 Alacant, Spain
Abstract:The so-called parallel multisplitting nonstationary iterative Model A was introduced by Bru, Elsner, and Neumann Linear Algebra and its Applications 103:175-192 (1988)] for solving a nonsingular linear system $A\mbox{\mathversion{bold} $x$ } =\mbox{\mathversion{bold} $b$ }$ using a weak nonnegative multisplitting of the first type. In this paper new results are introduced when $A$ is a monotone matrix using a weak nonnegative multisplitting of the second type and when $A$ is a symmetric positive definite matrix using a $P$-regular multisplitting. Also, nonstationary alternating iterative methods are studied. Finally, combining Model A and alternating iterative methods, two new models of parallel multisplitting nonstationary iterations are introduced. When matrix $A$ is monotone and the multisplittings are weak nonnegative of the first or of the second type, both models lead to convergent schemes. Also, when matrix $A$ is symmetric positive definite and the multisplittings are $P$-regular, the schemes are also convergent.

Keywords:Nonsingular matrix  iterative method  spectral radius  splitting  multisplitting  alternating method  stationary method  nonstationary method  convergence conditions  comparison conditions
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