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We propose a simplified slippage model that uses approximation to reduce terrain-dependent parameters.
The equalizer considered in this article will also adopt this approximation to reduce the complexity.
This basis is used in a Galerkin's approximation to reduce the system order.
We make use of a piecewise time-linear stray field approximation to reduce the necessary work per time step.
The viscosity is defined by a simple exponential law (using the Frank-Kamenetskii approximation to reduce the resulting viscosity contrast) as eta left({T} right) = bexp left({ - theta T} right) (4).
In this model, a predictor-corrector strategy is used for updating two internal states, especially used for solving the electrolyte concentration approximation to reduce the computational complexity and reserve a high accuracy of the approximation.
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In this article, we present and analyze a conservative approximation to reduced one-pressure one-velocity models for compressible two-phase flows that contain non-conservative products.
We propose the maximization of EE for the SSR scheme as a multiple variable-based, non-convex optimization problem and provide approximations to reduce it to a quasi-convex optimization.
The distributional WR is a word cooccurrence-based approach to latent semantics, which uses statistical approximations to reduce a word cooccurrence matrix of high dimensionality to a latent semantic matrix of low dimensionality.
The FSA-Block is an effective and accurate covariance approximation method to reduce computations for Gaussian process models, which applies to both nonseparable and partially separable covariance models.
Therefore the performance of the ZPiOR approximation (PFPPC+ZPiOR) becomes asymptotically (as L → ∞) close to that of the PFPPC scheme, except for the single channel case with m = 0. 5, where one can use the EPPR approximation instead to reduce complexity.
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