Sentence examples for because the computational complexity from inspiring English sources

Exact(10)

However, it still requires high computation times, because the computational complexity increases in proportion to the number of incoming waves.

In this study, we select dense optical flowa [30] which is a modified version based on [31, 32], to compute the motion field, because the computational complexity is low.

Because the computational complexity increases significantly for greater values of W, the smallest possible W that gives comparable classification accuracy should be used.

A large number of particles will in turn reduce the efficiency of DPF algorithm because the computational complexity is positively correlated with the number of particles in a consensus-based scheme.

However, CPHDF is inefficient in multitarget TBD, because the computational complexity of CPHDF is O m3), where m is the number of elements of the measurement set and is quite large for the TBD problem.

Because the computational complexity of the proposed scheme is dominated by the processing in the coarse CFO estimation, the total complexity load can be approximated as the required number of flops for determining the solution of (21).

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Similar(50)

This study was designed to test the hypothesis that sound intensity and duration might be more sensitive to MMN reduction early in the development of schizophrenia because of the computational complexity in extracting these two sound dimensions.

Because of the computational complexity involved in multi-length scale formulations involving polycrystal plasticity, innovative algorithms need to be incorporated in techniques for designing processes to realize materials with optimized properties.

However, they are not realizable in a practical system because of the computational complexity [4].

Computing all the solutions of the MAP model is in general a challenging task, mainly because of the computational complexity.

Because of the computational complexity of these clustering algorithms, we design a fast merging algorithm that can efficiently cluster vertices according to their attractor vectors.

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