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As a method of solution, the splitting technique and the modified finite element method with linear shape functions are used.
The finite element method with linear hardening in a zone of plastic deformations have been used to explore a stress state in a crack zone.
Our method is based on some theoretical conditions on joint selection probability of two samples and on the controlled selection method with linear programming implementation.
The finite volume (FV) method with linear two-point flux approximation is monotone but not even first-order accurate in these cases.
We explore the consequences of applying a slope limiter to the discontinuous Galerkin (DG) method, with linear elements, for hyperbolic systems with stiff relaxation terms.
The physical evolution equations for the specific volume, velocity, and specific total energy are discretized using a modal DG method with linear Taylor series polynomials.
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In the future, guideline for using log-ratio transformation methods with linear regression, a generalized linear model or random forest should be developed and combined with ancillary variables to improve the interpolators.
Additionally, some suboptimal methods with linear and decision feedback equalization (DFE) [9, 10] have been proposed to approach the ML performance.
The comparison results of simulation and experiment case showed that the linear Tikhonov PSO method with transformed linear inverse model has higher computation efficiency than nonlinear Tikhonov-PSO method.
By implementing a proper Lyapunov-Krasovskii functional candidate, the reciprocally convex combination method together with linear matrix inequality technique, several sufficient conditions are derived for varying the passivity of discrete-time BAM neural networks.
(a) Original picture; enhanced by the proposed method with (b) linear RGB color remapping, (c) only enhancing Y component while preserving Cb, Cr components, and (d) linear YCbCr color remapping.
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