Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. Recently, a novel error representation using (unconventional) pseudo-dual problems for goal-oriented adaptivity in the context of frequency-domain wave-propagation problems has been developed. In this paper, we extend this error representation to the case of time-domain problems. We express the entire problem in weak form in order to derive the adjoint formulation and apply goal-oriented adaptivity. One dimensional (1D) numerical results show that upper bounds for the new error representation are sharper than the classical ones. Therefore, this new error representation can be used to design more efficient goal-oriented adaptive methodologies
This article presents a space-time adaptive strategy for transient elastodynamics. The method aims a...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) tha...
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...
In this work, the error of a given output functional is represented using bilinear forms that are di...
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...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
We consider adaptive time discretization methods for ordinary differential equations where one aims ...
In goal-oriented adaptive algorithms for partial differential equations, we adapt the finite element...
In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error fu...
143 p.Goal-Oriented Adaptivity (GOA) is a powerful tool to accurately approximate physically relevan...
This article presents a space-time adaptive strategy for transient elastodynamics. The method aims a...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) tha...
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...
In this work, the error of a given output functional is represented using bilinear forms that are di...
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...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
In Goal-Oriented Adaptivity (GOA), the error in a Quantity of Interest (QoI) is represented using gl...
We consider adaptive time discretization methods for ordinary differential equations where one aims ...
In goal-oriented adaptive algorithms for partial differential equations, we adapt the finite element...
In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error fu...
143 p.Goal-Oriented Adaptivity (GOA) is a powerful tool to accurately approximate physically relevan...
This article presents a space-time adaptive strategy for transient elastodynamics. The method aims a...
109 p.In Goal-Oriented Adaptivity (GOA), the error in the Quantity of Interest (QoI) is represented ...
We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) tha...