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These qualifications make it a potential, new means for routine analysis and a complementing method for microarrays and high density chips.
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Methods based on remote sensing (RS) features, such as vegetation indices, have been proposed as promising approaches, complementing methods based on categorical data to support decision making.
In particular, they show how the Singular Complement Method captures the singular part of the solution.
To cope with this difficulty, the Singular Complement Method is introduced.
Parallelization is based on the Schur complement method which is able to deal with nonsymmetric systems.
Using this approach, we propose a parallel realization of the domain decomposition method (the Schur complement method).
The performance of the software and the proposed Schur complement method is assessed on a numerical example.
The cut complement method (CCM) used to evaluate the effect of a turning corner is discussed in this paper.
Based on the proposed model, the dynamics equations of the manipulator are developed using the natural orthogonal complement method.
Two adaptations of domain decomposition methods in the framework of double-scale homogenization are proposed to drastically reduce the calculation costs: a Schur complement method, and a mixed Schur complement and FETI-1 method.
Despite the existence of these high-memory systems, the Schur complement method still finds its applications in structural mechanics through parallel computing.
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