Author:
Amsallem David,Haasdonk Bernard
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Engineering (miscellaneous),Modelling and Simulation
Reference25 articles.
1. Dihlmann M, Drohmann M, Haasdonk B. Model reduction of parametrized evolution problems using the reduced basis method with adaptive time-partitioning. In: Proc. of ADMOS 2011, International Conference on Adaptive Modeling and Simulation. 2011.
2. Drohmann M, Haasdonk B, Ohlberger M. Adaptive reduced basis methods for nonlinear convection-diffusion equations. In: Proc. FVCA6, Finite Volumes and Complex Applications. 2011.
3. Amsallem D, Zahr M, Farhat C. Nonlinear model order reduction based on local reduced-order bases. Int J Numerical Methods Eng. 2012;92(10):891–916.
4. Haasdonk B, Dihlmann M, Ohlberger M. A training set and multiple basis generation approach for parametrized model reduction based on adaptive grids in parameter space. MCMDS. 2011;17:423–42.
5. Maday Y, Stamm B. Locally adaptive greedy approximations for anisotropic parameter reduced basis spaces. SIAM J Sci Comput. 2013;35(6):2417–41.
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