Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
SIAM Journal on Scientific Computing
deal.II—A general-purpose object-oriented finite element library
ACM Transactions on Mathematical Software (TOMS)
A Framework for the Adaptive Finite Element Solution of Large-Scale Inverse Problems
SIAM Journal on Scientific Computing
A posteriori error estimation of goal-oriented quantities for elliptic type BVPs
Journal of Computational and Applied Mathematics - Special issue: The international conference on computational methods in sciences and engineering 2004
Anisotropic mesh refinement for finite element methods based on error reduction
Journal of Computational and Applied Mathematics
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Nonlinear inverse problems are usually formulated as optimization problems on function spaces constrained by partial differential equations. As a consequence, in realistic, three-dimensional cases, they become extraordinarily expensive to solve numerically, and advanced methods like adaptive mesh refinement become indispensible. In this contribution, we outline such an adaptive algorithm and demonstrate results using a realistic example from optical tomography.