Variants of the synchronous and asynchronous matrix multisplitting unsymmetric AOR methods;

New variants of the existing synchronous and asynchronous parallel matrix multisplitting forward and backward relaxation methods for parallely solving the large sparse system of linear equations on the SIMD and MIMD multiprocessor systems are proposed, and their convergence theories are established under the ordinary conditions.

This paper proposes a class of parallel interval matrix multisplitting AOR methods for solving systems of interval linear equations and discusses their convergence properties under the conditions that the coefficient matrices are interval H _matrices.

This paper describes a novel power flow solution algorithm for solving distribution systems,using the relaxation method for Jacobian matrix inversion,as well as the matrix splitting method for distribution network with loops.

In order to solve the QP problem, we apply the combination of the gradient projection and successive overrelaxation (SOR) based on the matrix splitting.

Using matrix splitting and relaxation method of matrix inversion,two new sparse approximate inverse preconditioners or preconditioning methods are proposed.

Synthetically considering the importance of the materials and the competition ability of the vendor,a multifactor classified matrix model can be built after combining the ABC classification and the complication of the supply market.