Sentence examples for approximations to reduce from inspiring English sources

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.

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.

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.

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).

We therefore used the self consistent mean field approximation to reduce the dimensionality [8], [13].

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.

Experimentally observed asymmetric spectral structures were fully reproduced using the complex-number asymmetry parameters, validating the approximations used to reduce the analytical expression for the line shape to the phenomenological Fano formula.