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This contribution presents a general numerical method for computing lower and
upper bound of the optimal constant in Friedrichs’ inequality. The standard Rayleigh-Ritz method is used for the lower bound and the method of is employed for the upper bound. Several numerical experiments show applicability and accuracy of this approach.
Vejchodský, Tomáš. "Guaranteed and fully computable two-sided bounds of Friedrichs’ constant." Programs and Algorithms of Numerical Mathematics. Prague: Institute of Mathematics AS CR, 2013. 195-201. <http://eudml.org/doc/271391>.
@inProceedings{Vejchodský2013, abstract = {This contribution presents a general numerical method for computing lower and
upper bound of the optimal constant in Friedrichs’ inequality. The standard Rayleigh-Ritz method is used for the lower bound and the method of $\textit \{a\ priori-a\ posteriori\ inequalities\}$ is employed for the upper bound. Several numerical experiments show applicability and accuracy of this approach.}, author = {Vejchodský, Tomáš}, booktitle = {Programs and Algorithms of Numerical Mathematics}, keywords = {Friedrichs' constant; a posteriori error estimates; eigenvalue problem}, location = {Prague}, pages = {195-201}, publisher = {Institute of Mathematics AS CR}, title = {Guaranteed and fully computable two-sided bounds of Friedrichs’ constant}, url = {http://eudml.org/doc/271391}, year = {2013}, }
TY - CLSWK AU - Vejchodský, Tomáš TI - Guaranteed and fully computable two-sided bounds of Friedrichs’ constant T2 - Programs and Algorithms of Numerical Mathematics PY - 2013 CY - Prague PB - Institute of Mathematics AS CR SP - 195 EP - 201 AB - This contribution presents a general numerical method for computing lower and
upper bound of the optimal constant in Friedrichs’ inequality. The standard Rayleigh-Ritz method is used for the lower bound and the method of $\textit {a\ priori-a\ posteriori\ inequalities}$ is employed for the upper bound. Several numerical experiments show applicability and accuracy of this approach. KW - Friedrichs' constant; a posteriori error estimates; eigenvalue problem UR - http://eudml.org/doc/271391 ER -