Sentence examples for computation increased from inspiring English sources

Exact(4)

As for the sequential alignment, the use of a big step (eps = ) for the FD Jacobian computation, increased the precision of the estimations of and (for the radius iqr = 0.31 deg and iqr = 0.24 mm, resp).

The number of objectives to be optimized during the evolutionary computation increased from three to four or five.

Contrary to that, Rossi-Durand (2002) [ 36] demonstrated that mental computation increased the muscle spindle sensitivity and suggested on that background that the increase in muscle spindle sensitivity could prepare the spindles to better play their role in proprioceptive information.

Interestingly, mental computation increased the response of the primary muscle spindle afferents while the secondary muscle spindle afferents exhibited no change in their sensitivity to stretch during mental computation [ 36, 37].

Similar(56)

Analytic Jacobian computation increases the simulation speed (often significantly), but decreases the opportunities for speedup by mechanism reduction.

It is, however, not an easy task to achieve the only conformation with the lowest energy among all the potential ones because of the high complexity of the energy landscape and the exponential computation increasing with molecular size.

Having one entity responsible for the data collection and indicator computation increases the comparability of the hospitals performance scores.

These results suggest that experience and practice with computations increased the ability of advanced students to use statistics as a way to better understand biological results and concepts.

The adaptive computations increase the performance, dependability, and flexibility of JEE servers.

Manycore architectures, such as NVIDIA GPUs or Intel Xeon Phi offer new opportunities to enhance scientific computations, increasing the performance per watt, but shifting to a different programming model.

We implement these optimal algorithms in a high-performance computing framework that uses state-of-the-art linear algebra kernels, incorporates optimizations, and avoids redundant computations, increasing throughput while reducing memory usage and energy consumption.

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