In this work, the error of a given output functional is represented using bilinear forms that are different from those given by the adjoint problem. These representations can be employed to design novel h, p, and hp energy-norm and goal-oriented adaptive algorithms. Numerical results in 1D show that, for wave propagation problems, the advantages of this new representation are notorious when selecting the Laplace equation as the dual problem. Specifically, the computed upper bounds of the new error representation are sharper than the classical ones used in both energy-norm and goal-oriented adaptive methods, especially when the dispersion (pollution) error is significant
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
International audienceIn this work, the error of a given output functional is represented using bili...
International audienceIn this work, the error of a given output functional is represented using bili...
In this work, the error of a given output functional is represented using bilinear forms that are di...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error fu...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
This paper introduces a new goal-oriented adap- tive technique based on a simple and effective post-...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
International audienceIn this work, the error of a given output functional is represented using bili...
International audienceIn this work, the error of a given output functional is represented using bili...
In this work, the error of a given output functional is represented using bilinear forms that are di...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error fu...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
This paper introduces a new goal-oriented adap- tive technique based on a simple and effective post-...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-010-0557-2This p...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...
Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. R...