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Many of the problems of approximating numerically solutions to nonhomogeneous hyperbolic conservation laws appear to arise from an inability to balance the source and flux terms at steady states.
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Numerically approximating solutions to nonlinear conservation laws requires applications of a conservative and stable numerical method, so that reasonable numerical solutions are obtained, such that positivity and/or monotonicity of certain physical quantities are realized.
Open image in new window Figure 1 Comparison between the analytical solution and numerically obtained solution at t = 0 for x 1 = − 2, x 2 = 2, c 1 = 0.1, and c 2 = − 0.1.
The benefit of the regularized estimation is two-fold: (1) to provide a priori external information to strengthen the solution, and (2) to stabilize the solution numerically when the solution is ill-conditioned (Tarantola, 2005).
They discussed numerically the solutions in details.
The estimates compare favourably with numerically determined solutions.
In Figure 5, numerically obtained solutions for different values of t are shown.
In this paper we investigate numerically positive solutions of a superlinear Elliptic equation on bounded domains.
The method enables numerically stable solutions with energy and mass conservation.
So far, in order to compute numerically the solutions of ((mathcal {P}_{S})), we have implemented two approaches.
We consider the problem of optimal transmission power assignment and compare simulative results with numerically computed solutions.
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