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Algorithm 1 Approximation algorithm statement.

end{aligned} Figure 1 Approximation of (f(x)) by (G_{n}^{tau } ( f;x )).

They are: 1) approximation order, 2) number of process iterations L, and 3) adjustment step size λ.

The form of u h ( 0 ) is displayed in Figure 1. Figure 1 Approximation solution y = u h ( 0 ).

Further, the Z + 1 approximation within the density functional theory (DFT) framework has been employed to theoretically compute the energy loss near edge structure of LiFePO4.

Figure 1 Approximation quality as a function of the offered load. Figure 2 The behavior of losses function according to different values of.

We first use the top-1 approximation algorithm shown in Algorithm 2 to get an approximate solution (T ={w_2, w_3}) with total price of 4, which is used as the current lower bound.

Algorithm 2 illustrates the top-1 approximation algorithm.

The P-1 approximation and the Monte Carlo method are applied in cylindrical coal-fired furnaces.

By equation (1), the best rank-1 approximation ({hat {mathscr{ A}}}) can be obtained.

In Fig. 4 b, we applied 1° approximation so there are several remaining fringes.