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The governing equation was solved numerically using the Crank Nicolson method with variable step size.
We study the strong convergence of a hybrid steepest descent method with variable parameters for the general variational inequality (GVI).
The set of transient governing equations developed was solved numerically using finite volume method with variable time-steps.
In that respect, an ASC (with constant power) or the T-history method (with variable power) provide experimental circumstances much closer to real-life situations.
Using cold EGR method with variable venturi and turbocharger has very significant effect, simultaneously on the reduction of NOX and grime simultaneously.
The finite difference method with variable grid is employed to show the numerical results of the coupling effect between the string and slider.
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Linear regression analysis was performed by enter method with variables found to be related with apelin-36 levels in univariate analysis.
Some hybrid steepest-descent-like methods with variable parameters for triple hierarchical variational inequalities are also studied in Ceng et al. [12].
The performance of the Fourier-pseudo spectral method constrained to uniform meshes versus the locally adaptive finite element method and of higher-order exponential operator splitting methods with variable time stepsizes is studied.
The efficiency of our method is largely due to the use of regression methods with variable selection in graphical Granger modeling (i.e. Lasso and its variant).
We attempted to inbreed five different colonies of A. gambiae through full-sib mating (see Materials and Methods) with variable results (table 1).
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