This is the supplementary Software for the PhD thesis "Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization" by Tim Kei
In the present paper the authors study second-order elliptic parametric partial differential equatio...
This book provides a thorough introduction to the mathematical and algorithmic aspects of certified ...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
Abstract. Many natural or technical processes can be described by parameterized partial differ-entia...
This book provides a basic introduction to reduced basis (RB) methods for problems involving the rep...
Software for A Relaxed Localized Trust-Region Reduced Basis Approach for Optimization of Multiscale ...
This book provides a basic introduction to reduced basis (RB) methods for problems involving the rep...
In this paper the reduced basis method is utilized to solve multiob- jective optimization problems g...
This book provides an up-to-date overview of research articles in applied and industrial mathematics...
OAK-B135 Final Report: Symposium on Adaptive Methods for Partial Differential Equations. Complex phy...
This book provides an up-to-date overview of research articles in applied and industrial mathematics...
Abstract: The reduced basis (RB) method is an efficient technique to solve parametric partial differ...
The efficient solution of large-scale systems resulting from the discretization of partial different...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
In the present paper the authors study second-order elliptic parametric partial differential equatio...
In the present paper the authors study second-order elliptic parametric partial differential equatio...
This book provides a thorough introduction to the mathematical and algorithmic aspects of certified ...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
Abstract. Many natural or technical processes can be described by parameterized partial differ-entia...
This book provides a basic introduction to reduced basis (RB) methods for problems involving the rep...
Software for A Relaxed Localized Trust-Region Reduced Basis Approach for Optimization of Multiscale ...
This book provides a basic introduction to reduced basis (RB) methods for problems involving the rep...
In this paper the reduced basis method is utilized to solve multiob- jective optimization problems g...
This book provides an up-to-date overview of research articles in applied and industrial mathematics...
OAK-B135 Final Report: Symposium on Adaptive Methods for Partial Differential Equations. Complex phy...
This book provides an up-to-date overview of research articles in applied and industrial mathematics...
Abstract: The reduced basis (RB) method is an efficient technique to solve parametric partial differ...
The efficient solution of large-scale systems resulting from the discretization of partial different...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
In the present paper the authors study second-order elliptic parametric partial differential equatio...
In the present paper the authors study second-order elliptic parametric partial differential equatio...
This book provides a thorough introduction to the mathematical and algorithmic aspects of certified ...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
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