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Model order reduction and error estimation with an application to the parameter-dependent eddy current equation

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Listed:
  • Nadine Jung
  • Anthony T. Patera
  • Bernard Haasdonk
  • Boris Lohmann

Abstract

In product development, engineers simulate the underlying partial differential equation many times with commercial tools for different geometries. Since the available computation time is limited, we look for reduced models with an error estimator that guarantees the accuracy of the reduced model. Using commercial tools the theoretical methods proposed by G. Rozza, D.B.P. Huynh and A.T. Patera [ Reduced basis approximation and a posteriori error estimation for affinely parameterized elliptic coercive partial differential equations , Arch. Comput. Methods Eng. 15 (2008), pp. 229--275] lead to technical difficulties. We present how to overcome these challenges and validate the error estimator by applying it to a simple model of a solenoid actuator that is a part of a valve.

Suggested Citation

  • Nadine Jung & Anthony T. Patera & Bernard Haasdonk & Boris Lohmann, 2011. "Model order reduction and error estimation with an application to the parameter-dependent eddy current equation," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 17(6), pages 561-582, April.
    • Handle: RePEc:taf:nmcmxx:v:17:y:2011:i:6:p:561-582
    DOI: 10.1080/13873954.2011.582120
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    References listed on IDEAS

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    1. Rudy Eid & Rosa Castañé-Selga & Heiko Panzer & Thomas Wolf & Boris Lohmann, 2010. "Stability-preserving parametric model reduction by matrix interpolation," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 17(4), pages 319-335, November.
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