Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Algorithms  /  Vol: 13 Par: 5 (2020)  /  Artículo
ARTÍCULO
TITULO

Goal Oriented Time Adaptivity Using Local Error Estimates

Peter Meisrimel and Philipp Birken    

Resumen

We consider initial value problems (IVPs) where we are interested in a quantity of interest (QoI) that is the integral in time of a functional of the solution. For these, we analyze goal oriented time adaptive methods that use only local error estimates. A local error estimate and timestep controller for step-wise contributions to the QoI are derived. We prove convergence of the error in the QoI for tolerance to zero under a controllability assumption. By analyzing global error propagation with respect to the QoI, we can identify possible issues and make performance predictions. Numerical tests verify these results. We compare performance with classical local error based time-adaptivity and a posteriori based adaptivity using the dual-weighted residual (DWR) method. For dissipative problems, local error based methods show better performance than DWR and the goal oriented method shows good results in most examples, with significant speedups in some cases.

 Artículos similares

       
 
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad and Tosin Famakinwa    
Digital twin (DT) has gained significant recognition among researchers due to its potential across industries. With the prime goal of solving numerous challenges confronting the construction industry (CI), DT in recent years has witnessed several applica... ver más
Revista: Informatics

 
Eduardo Cibrián, Jose María Álvarez-Rodríguez, Roy Mendieta and Juan Llorens    
The use of different techniques and tools is a common practice to cover all stages in the development life-cycle of systems generating a significant number of work products. These artefacts are frequently encoded using diverse formats, and often require ... ver más
Revista: Applied Sciences

 
Malak Baslyman, Daniel Amyot and John Mylopoulos    
Goal models are commonly used requirements engineering artefacts that capture stakeholder requirements and their inter-relationships in a way that supports reasoning about their satisfaction, trade-off analysis, and decision making. However, when there i... ver más
Revista: Algorithms

 
Juliana Castaneda, Assumpta Jover, Laura Calvet, Sergi Yanes, Angel A. Juan and Milagros Sainz    
Are algorithms sexist? This is a question that has been frequently appearing in the mass media, and the debate has typically been far from a scientific analysis. This paper aims at answering the question using a hybrid social and technical perspective. F... ver más
Revista: Algorithms

 
Marvin Carl May, Lars Kiefer, Andreas Kuhnle and Gisela Lanza    
Imagine the possibility to save a simulation at any time, modify or analyze it, and restart again with exactly the same state. The conceptualization and its concrete manifestation in the implementation OntologySim is demonstrated in this paper. The prese... ver más
Revista: Applied Sciences