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Direct solutions are important because of their computational efficiency.
Five DCA methods have been evaluated because of their computational simplicity and broad application.
Because of their computational efficiency, the multi-moment bulk methods are widely used for 3D non-hydrostatic simulations.
These problems are often very hard not only because of their computational complexity, but also due to their enormous solution space size.
Because of their computational cost and convenient portability for thepurpose of authentication, remote user authentication scheme based on smart cards is widely adopted.
Because of their computational efficiency, finite element programs based on the explicit dynamic formulation proved to be a very attractive tool for the simulation of metal forming processes.
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In games especially large scale extensive games, players' actual views of the game might be different from the real one, because of the limit of their computational power.
Methods using subgraph isomorphism such as the generalized Zelinka distance [ 23] could not be computed for such large networks, because of their high computational costs.
Because of their small computational load, they have been employed in various tracking systems [9-12].
The least-mean-squares (LMS) and the normalized LMS (NLMS) algorithms are useful for a wide range of adaptive filter applications because of their low computational complexity.
Gradient-based algorithms are widely used in research on production optimization and history matching because of their high computational efficiency and fast convergence behavior.
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