We propose certified reduced basis methods for the efficient and reliable evaluation of a general output that is implicitly connected to a given parameterized input through the harmonic Maxwell's equations. The truth approximation and the development of the reduced basis through a greedy approach is based on a discontinuous Galerkin approximation of the linear partial differential equation. The formulation allows the use of different approximation spaces for solving the primal and the dual truth approximation problems to respect the characteristics of both problem types, leading to an overall reduction in the off-line computational effort. The main features of the method are the following: (i) rapid convergence on the entire representative ...
We propose a controllability method for the numerical solution of time-harmonic Maxwell's equations ...
Many engineering applications require the solutions of a partial differential equation (PDE) for a v...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
In a posteriori error analysis of reduced basis approximations to affinely parametrized partial diff...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.Includ...
We present a technique for the rapid and reliable prediction of linear-functional outputs of ellipti...
We present a technique for the rapid, reliable, and accurate evaluation of functional outputs of par...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
The Reduced Basis Method (RBM) generates low-order models of parametrized partial differential equat...
Reduction strategies, such as model order reduction (MOR) or reduced basis (RB) methods, in scientic...
Summarization: We present a technique for the rapid and reliable prediction of linear-functional out...
We present a technique for the rapid and reliable prediction of linear-functional outputs of ellipti...
International audienceIn a posteriori error analysis of reduced basis approximations to affinely par...
We propose a controllability method for the numerical solution of time-harmonic Maxwell's equations ...
Many engineering applications require the solutions of a partial differential equation (PDE) for a v...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
In a posteriori error analysis of reduced basis approximations to affinely parametrized partial diff...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.Includ...
We present a technique for the rapid and reliable prediction of linear-functional outputs of ellipti...
We present a technique for the rapid, reliable, and accurate evaluation of functional outputs of par...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
The Reduced Basis Method (RBM) generates low-order models of parametrized partial differential equat...
Reduction strategies, such as model order reduction (MOR) or reduced basis (RB) methods, in scientic...
Summarization: We present a technique for the rapid and reliable prediction of linear-functional out...
We present a technique for the rapid and reliable prediction of linear-functional outputs of ellipti...
International audienceIn a posteriori error analysis of reduced basis approximations to affinely par...
We propose a controllability method for the numerical solution of time-harmonic Maxwell's equations ...
Many engineering applications require the solutions of a partial differential equation (PDE) for a v...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...