Sentence examples for any additional computational from inspiring English sources

Thus the use of Hermite interpolations will not cost any additional computational efforts since the samples f ( n π σ ) will be used to compute both f ( t ) and f ′ ( t ) according to (1.12) and (1.14), respectively.

The high order is achieved without any additional computational cost from the conventional FFT-based Poisson solver and enables the calculation of the derivative of the solution to the same high order by direct spectral differentiation.

By using isogeometric analysis, the exact geometry is used in both the structural and aerodynamic models, preventing any additional computational effort for meshing and geometry retrieval steps and avoiding the introduction of geometrical errors due to the discretisation of the geometry.

The optimizations show that no modeling compromises are required to apply MDT to large vocabulary recognition and that, on noisy data, any additional computational cost in likelihood calculation is easily recovered by a reduction in the search effort.

Consequently, one can select any arbitrary pattern in the time-frequency domain as a signature without any additional computational load compared to the illustrative quadratic FM signal used in our examples.

The whole feedback algorithm is implemented on a low-cost ATxmega controller (ATxmega128A1, Atmel Corporation, San Jose, CA, USA) that is able to perform a quadrature decoding via its specialized module, i. e. without the need of any additional computational power.

However, this requires the computation of the maximum value, implying an additional computational cost.

At the same time, it brings an additional computational difficulty.

Since the linker connecting the NBD-TMD (residues 354 375) is longer than in ABCG5, we performed an additional computational study of this structure in GROMACS in the presence of a DMPC membrane.

Moreover, an additional computational setup was designed to study effects of 2450 MHz field on MT response to AFM tip.

Compared with the conventional methods, it was proved that the proposed methods are much more robust in various noise environments without any training procedure and additional computational complexity.