Neural, Parallel & Scientific Computations
Neural, Parallel & Scientific Computations
A posteriori error analysis of a cell-centered finite volume method for semilinear elliptic problems
Journal of Computational and Applied Mathematics
Hierarchical error estimates for finite volume approximation solution of elliptic equations
Applied Numerical Mathematics
Covolume-upwind finite volume approximations for linear elliptic partial differential equations
Journal of Computational Physics
SIAM Journal on Numerical Analysis
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Local mesh-refining algorithms known from adaptive finite element methods are adopted for locally conservative and monotone finite volume discretizations of boundary value problems for steady-state convection-diffusion-reaction equations. The paper establishes residual-type explicit error estimators and averaging techniques for a posteriori finite volume error control with and without upwind in global H1- and L2-norms. Reliability and efficiency are verified theoretically and confirmed empirically with experimental support for the superiority of the suggested adaptive mesh-refining algorithms over uniform mesh refining. A discussion of adaptive computations in the simulation of contaminant concentration in a nonhomogeneous water reservoir concludes the paper.