Functional A Posteriori Error Control for Conforming Mixed Approximations of Coercive Problems with Lower Order Terms
Immanuel Anjam, Dirk Pauly

TL;DR
This paper develops functional a posteriori error estimates for conforming mixed approximations of coercive PDEs with lower order terms, providing precise error control in combined primal-dual norms.
Contribution
It introduces new error equalities and two-sided estimates that are free of constants for a class of coercive PDEs with mixed formulations.
Findings
Derivation of functional a posteriori error equalities
Constant free two-sided error estimates
Effective error measurement in combined primal-dual norms
Abstract
We derive functional a posteriori error equalities and constant free two sided estimates for certain types of partial differential equations. The error is measured in a combined norm which takes into account both the primal and dual variable.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
