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The main computational cost of our approach is in computing the feature set.
The main computational cost of the ensemble Kalman filter comes from the numerical integration of each ensemble member forward in time.
The main computational cost of finding the coefficients of this expansion arises from numerically solving an integral eigenvalue problem with the covariance function as the integration kernel.
The first is the hardware architecture for nearest neighbor searching, which is used to overcome the main computational cost of a K-means clustering algorithm.
A formulation based on a block reduction of the system Jacobian proves powerful to allow various numerical algorithms to be exploited, including frequency domain solvers, reconstruction of a term describing the fluid structure interaction from the sparse data which incurs the main computational cost, and sampling to place the expensive samples where they are most needed.
The main computational cost of the HSM is in solving the subproblems (2.1 - 2.2 2.1 - 2.2).
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'Mdrun' program is the main computational chemistry engine within Gromacs.
Therefore, the main concern is the computational cost to calculate the feature in each detector.
Its main advantage is the lower computational cost, which is especially relevant when dealing with many patterns defined in a high-dimensional space.
In many cases one of the main obstacles is the high computational cost involved in the solution of large-scale problems.
The main focus is on the computational cost of the algorithms proposed, designed in order to keep the number of operations as low as possible without compromising the applicability of the methods to different engine configurations and operation points.
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