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The method reduces the amount of residual phase aliasing, and decreases velocity errors that result from intravoxel dephasing.
The proposed method reduces the simulation time without losing much of accuracy.
The IE method reduces the size of the problem but leads to a dense system matrix.
This setup planning method reduces the number of alternatives for evaluation and thereby the computational effort.
This method reduces the height of the CT under high speed crosswinds.
From the user's standpoint, this method reduces the amount of the workstation resources that are used on functions and programs that are not useful to the particular user.
Moreover, we demonstrated that the proposed method reduces the computational cost of the simulation.
Applying the modified PICC method reduces the 3D FEM fatigue life prediction errors.
The Galerkin's method reduces the von Kármán equation to a time dependent ordinary differential equation.
This method reduces the infinite dimensional input force vector to one with finite dimensions.
This method reduces the propagation of round-off errors produced in the ordinary transfer matrix method.
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