A class of asynchronous parallel nonlinear accelerated overrelaxation methods for the nonlinear complementarity problems
β Scribed by Zhong-Zhi Bai
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 524 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0377-0427
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β¦ Synopsis
In accordance with the principle of using sufficiently the delayed information, and by making use of the nonlinear multisplitting and the nonlinear relaxation techniques, we present in this paper a class of asynchronous parallel nonlinear multisplitting accelerated overrelaxation (AOR) methods for solving the large sparse nonlinear complementarity problems on the high-speed MIMD multiprocessor systems. These new methods, in particular, include the so-called asynchnmous parallel nonlinear multisplitting AOR-Newton method, the asynchronous parallel nonlinear multisplitting AOR-chord method and the asynchronous parallel nonlinear multisplitting AOR-Steffensen method. Under suitable constraints on the nonlinear multisplitting and the relaxation parameters, we establish the local convergence theory of this class of new methods when the Jacobi matrix of the involved nonlinear mapping at the solution point of the nonlinear complementarity problem is an H-matrix.
π SIMILAR VOLUMES
Asynchronous parallel multlsplitting nonlinear iterative methods are established for the system of nonlinear algebraic equations A~p(x) -{-TΒ’(x) = b, with A, T E L(R n) being matrices having particular properties, ~, ~b : R n ---\* R n being diagonal and continuous mappings, and b E R n a known vect
Evans, D.J. and W. Deren, An asynchronous parallel algorithm for solving a class of nonlinear simultaneous equations, Parallel computing 17 (1991) 165-180. The Schwarz Alternating procedure is used in a domain decomposition strategy to study the suitability of overlapping domains when a nonlinear e
This paper discusses nonlinear complementarity problems; its goal is to present a globally and superlinearly convergent algorithm for the discussed problems. Filter methods are extensively studied to handle nonlinear complementarity problem. Because of good numerical results, filter techniques are a