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Finally, some potential applications of the acceleration methods for problems with large scale computations in the ocean and coastal engineering are introduced.
This work studies reduced order modeling (ROM) approaches to speed up the solution of variational data assimilation problems with large scale nonlinear dynamical models.
Dried material was used because there are fewer problems associated with large scale extraction of dried plant material compared to fresh plant material [ 42] and dried material may retain its biological activity for many decades [ 43].
If they are not, the school or clinic will languish unused, a frequent problem with large-scale development efforts.
A second problem with large-scale experiments is pseudoreplication (lack of independence across replicates), which results in the strength of the experimental evidence being overstated.
This paper is aimed to decrease the time complexity of computation of grid-based approach in order to solve MEP problem with large-scale field or high-density sensors.
But these operators have difficult in dealing with large scale problems because of the high computational cost.
Although convex programming has been studied for about a century, an increasing amount of effort has been put recently into developing fast and scalable algorithms to deal with large scale problems.
As a result, the proposed sensitivity reanalysis methods are proved to be more efficient with large scale problems and the accuracy of modified Degrees of Freedoms (DOFs) can be guaranteed as well.
This solver has been developed in the framework of the open source generalist computational fluid dynamics tool box OpenFOAM® and is capable to deal with large scale problems in both space and time.
Such tools are often characterized by having to deal with large scale optimization problems, where solutions are difficult to obtain.
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