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However, methods to numerically study and simulate the behavior of metal hybrid foams are not well established.
A grid cutting pattern algorithm is introduced, as well as methods to numerically simulate the double-layer construction technique and a novel (single-node) cylindrical joint model.
During the last three decades, a vast variety of methods to numerically solve ordinary differential equations and differential algebraic equations has been developed and investigated.
At each stage we only see coefficient matrices with a symmetric positive definite structure, and use matrix-free (preconditioned) conjugate gradient methods to numerically solve for the velocity and pressure fields.
In this paper we investigate several methods to numerically approximate nonconservative hyperbolic systems, we discuss why these convergence errors arise, and by using recent results established by Alouges and Merlet we give an approximate description of what weak solutions these numerical solutions converge to.
In this paper, we present three degenerate kernel methods to numerically solve generalized Fredholm integral equation of the second kind, working on the septic spline quasi-interpolants.
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In this article, we present a numerical method to numerically solve a time-fractional convection diffusion equation.
The study also offers a potential method to numerically calibrate some of the statistic parameters required by a numerical carbonation model through comparing the PSD with that from experimental tests.
In this section, the numerical algorithm is based on SJ-GL-C method to numerically solve NLSEs with initial-boundary conditions.
This paper employs the Eulerian Eulerian method to numerically investigate the sensitivity study of bubble size on the accuracy of numerical method for different superficial gas velocities.
This section introduces three numerical schemes that are based on the shifted Jacobi collocation method to numerically solve the 2D variable-order fractional R-S problem with different types of boundary conditions.
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