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The approximate method requires two approximations, which only use simple algebraic functions.

Our theoretical results based on small-delay time-approximation approach are consistent with the numerical simulation, which implies that the approximate method is reliable.

Therefore, an approximate method is necessary.

An approximate method for dead center estimation is introduced.

We also solve the governing equations using Rayleigh's approximate method.

Kalker demonstrated a new approximate method that resembled Karters's model [15].

It is, however, an approximate method that does not model the spatial distribution of scatter [10].

Consequently, we use the approximate method proposed by Casale et al. [5] to calculate I a.

We now describe an approximate method based on the above tessellation.

The existence of solutions is obtained by applying the successive approximate method.

Here, we resort to this kind of sample-based numerical approximate method.

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