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In Section 5, we investigate the ability of the above approximations to represent client RC distributions.
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The numerical scheme is predicated upon an implicit time-marching algorithm, and utilizes a high-order compact finite-difference approximation to represent spatial derivatives.
Such an approximation helps to represent the ergodic sum rates in (8) with an exact Doppler analysis (without high channel correlation assumption).
Ridgelet transform (RT) is a highly effective approximation approach to represent an image object as described by Candes and Donoho [24, 25].
Although the proposed functions do not perfectly match the ACM rain event as it suffers from intensive fluctuations, we believe that the proposed sinusoidal approximation allows to represent the general situation in which the satellite capacity is reduced.
If the level of smoothness turns out to be too low, then one can easily improve the accuracy of the cubic spline approximation used to represent the Hermite boundary data.
Chebyshev approximations are used to represent both the interior solutions and the boundary values.
Both the first-order (Maxwell) and the second-order approximations are found to represent experimental data reasonably well for dispersions of low to moderate concentration.
Therefore there are in total five mechanisms in our test list, as summarized in Table 2. Since the total amount of enzyme is much lower than the initial reactants concentration used in Cha and Parks' experiments [ 8], quasi-steady-state and quasi-equilibrium approximations are used to represent the kinetics of the enzyme-catalysed reaction.
A basic problem in approximation theory is to represent a given function approximately, and solving this problem is to choose a representation system.
Phase type approximation is proposed to represent the expected power consumed per unit time.
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