Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

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This thesis focuses on the development and validation of a reduced order technique for cardiovascular simulations. The method is based on the combined use of the Reduced Basis method and a Domain Decomposition approach and can be seen as a particular imple ...

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Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

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Reversible and Broad-Range Oxygen Sensing Based on Purely Organic Long-Lived Photoemitters

Reduction techniques for PDEs built upon Reduced Basis and Domain Decomposition Methods with applications to hemodynamics

Energy-based comparison between the Fourier-Galerkin method and the finite element method

On Gaussian Process Based Koopman Operators

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

Model order reduction of flow based on a modular geometrical approximation of blood vessels

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Finite-time stabilization in optimal time of homogeneous quasilinear hyperbolic systems in one dimensional space

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

Data-driven myelin water imaging based on T-1 and T-2 relaxometry