Sentence examples for better approximation than from inspiring English sources

Exact(8)

In general, the continued fraction method could provide a better approximation than others, and has less numerical computations.

Consequently, ( C, 1 ) ( E, 1 ) gives better approximation than the individual methods ( C, 1 ) and ( E, 1 ).

The proposed method has better approximation than conventional design schemes since the orders of compensators of a GMVCS law do not increase even if a dead-time increases.

It is further demonstrated, by application of this example, that the MSE represents a better approximation than does the classical linearised shallow water equation (SWE) in the case of extremely small depth.

However, deviations can be long and persistent and the mean can shift, so that GBM could provide a better approximation than the more complex MRM, especially considering that the data covers a relatively short time span.

The refining improvement of (18c) gets more pronounced with the second order approximation process as a second order approximation is certainly a better approximation than the first order approximation.

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Similar(52)

It has been proven that in some cases Feng's soft rough set model could provide better approximations than classical rough sets.

Layerwise theories lead to better approximations than equivalent single-layer theories, but the large number of independent unknowns in these theories requires more computational power in comparison with calculations, based on equivalent single-layer theories.

In this sense, the variables ESO2 and BACH_LOGSE could be better approximations than ESO1 given that they entail higher probabilities of studying under LOGSE for any individual within the TRANSITION group.

Better approximations than those in Equations 17 and 119 are obtained by making only one of the two assumptions above.

The results, that polynomials are better approximations than splines, were quite surprising since the architecture of a single stationary α-helix is based on a model with polynomials or polynomial splines with one or two kinks (extremal values).

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