Successive Constraint Method in the Collocation Reduced Basis Method

نویسنده

  • Andrew Davey
چکیده

Parametric Partial Differential Equations arise in many areas of applied mathematics and the natural sciences. Efficient numerical simulations to these types of problems across a wide range of parameter values presents a stiff computational challenge. The Reduced Basis Method presents an efficient scheme for solving these types of problem. Utilization of this method however, depends on the knowledge of a ’inf-sup’ constant across the parameter domain. Computation of this constant is a nontrivial task, as it is defined in terms of eigenvalue problems. The Successive Constraint Method, by framing the eigenvalue problem as a linear program, offers a computationally efficient way of approximating the inf-sup constant. In this paper we will review the progress made in implementing of this method for the new collocation framework of the RBM.

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تاریخ انتشار 2012