This software contains code to reproduce the numerical experiments for the preprint Accurate error estimation for model reduction of nonlinear dynamical systems via data-enhanced error closure, authored by Sridhar Chellappa, Lihong Feng and Peter Benner
Many physical phenomena, such as mass transport and heat transfer, are modeled by systems of partial...
This report is intended as a users manual for a package of MATLAB scripts and functions, developed f...
This reports is intended as a users manual for a package of MATLAB scripts and functions, developed ...
A prediction error estimation algorithm is derived for the estimation of complex number systems. The...
Algorithms are presented for estimation of deterministic model error in the assumed models of nonlin...
The analysis of system models forms an important tool in the design of high-tech systems. However, t...
In this technical note, a model reduction procedure is presented for nonlinear systems that can be d...
Burgers' equation is a nonlinear scalar partial differential equation, commonly used as a testbed fo...
International audienceThe investigation of network dynamics is a major issue in systems and syntheti...
The analysis of a posteriori error estimates used in reduced basis methods leads to a model reductio...
Motivated by a recently proposed error estimator for the transfer function of the reduced-order mode...
All main scripts for different greedy algorithms are run by the file: run_all_coplanar.m. The error ...
SIGLELD:6015.42F(N--81-14776)(microfiche) / BLDSC - British Library Document Supply CentreGBUnited K...
In this work an efficient approach for a posteriori error estimation for POD-DEIM reduced nonlinear ...
This paper derives state space error bounds for the solutions of reduced systems constructed using P...
Many physical phenomena, such as mass transport and heat transfer, are modeled by systems of partial...
This report is intended as a users manual for a package of MATLAB scripts and functions, developed f...
This reports is intended as a users manual for a package of MATLAB scripts and functions, developed ...
A prediction error estimation algorithm is derived for the estimation of complex number systems. The...
Algorithms are presented for estimation of deterministic model error in the assumed models of nonlin...
The analysis of system models forms an important tool in the design of high-tech systems. However, t...
In this technical note, a model reduction procedure is presented for nonlinear systems that can be d...
Burgers' equation is a nonlinear scalar partial differential equation, commonly used as a testbed fo...
International audienceThe investigation of network dynamics is a major issue in systems and syntheti...
The analysis of a posteriori error estimates used in reduced basis methods leads to a model reductio...
Motivated by a recently proposed error estimator for the transfer function of the reduced-order mode...
All main scripts for different greedy algorithms are run by the file: run_all_coplanar.m. The error ...
SIGLELD:6015.42F(N--81-14776)(microfiche) / BLDSC - British Library Document Supply CentreGBUnited K...
In this work an efficient approach for a posteriori error estimation for POD-DEIM reduced nonlinear ...
This paper derives state space error bounds for the solutions of reduced systems constructed using P...
Many physical phenomena, such as mass transport and heat transfer, are modeled by systems of partial...
This report is intended as a users manual for a package of MATLAB scripts and functions, developed f...
This reports is intended as a users manual for a package of MATLAB scripts and functions, developed ...
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