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In the regularizing procedures, several authors have studied finite-dimensional approximations obtained by projecting regularized approximations into finite-dimensional subspaces.
Moment-based methods, on the other hand, attempt to compress the shape information through various approximations into a rotationally and translationally invariant, numerical form.
With respect to our previous work (Deng et al., 2001), we explicitly included the modeling approximations into the design of the flight controller.
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The raw estimate (hat {n}) is approximated by employing first-order binomial approximation into Equation 1, P_{text{tr}} ={np}_{text{wu}}+{mp}_{text{ap}}-{mnp}_{text{ap}}p_{text{wu}} (25).
This goal can be achieved by forming Pade' approximants, which have the advantage of manipulating the polynomial approximation into a rational function to gain more information about and.
This goal can be achieved by forming Padé approximants, which have the advantage of manipulating the polynomial approximation into a rational function to gain more information about y ( t ).
It was formally shown by Khan et al. [21] that this goal can be achieved by forming Padé approximants [22] which have the advantage of manipulating the polynomial approximation into a rational function to gain more information about y ( t ).
This method introduces upper approximation and lower approximation into k-means clustering algorithm.
Furthermore, we transform the approximation into a virtual uplink structure with the uplink-downlink throughput duality.
We propose to incorporate the RS approximation into the weak form of parametric partial differential equations (PDEs).
Tunneling boundary conditions extend the approximation into the entire region of the poly-silicon gate, oxide barrier, and substrate.
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