On convergence of block-centered finite differences for elliptic-problems
SIAM Journal on Numerical Analysis
Convergence of finite volume schemes for Poisson's equation on nonuniform meshes
SIAM Journal on Numerical Analysis
A Class of Spectral Two-Level Preconditioners
SIAM Journal on Scientific Computing
Linearized Initialization of the Newton Krylov Algorithm for Nonlinear Elliptic Problems
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Stopping Criterion for Adaptive Algorithm
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Multiblock grid generation for simulations in geological formations
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
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Adaptive, locally refined and locally adjusted meshes are preferred over uniform meshes for capturing singular or localised solutions. Roughly speaking, for a given degree of freedom a solution associated with adaptive, locally refined and locally adjusted meshes is more accurate than the solution given by uniform meshes. In this work, we answer the question which meshes are better conditioned. We found, for approximately same degree of freedom (same size of matrix), it is easier to solve a system of equations associated with an adaptive mesh.