activity
20142019
most citedRandomized Local Model Order Reduction

49 citations · 110 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA2019★ 2 cited

Towards Automatic and Reliable Localized Model Order Reduction

Andreas Buhr

Finite element based simulation of phenomena governed by partial differential equations is a standard tool in many engineering workflows today. However, the simulation of complex g…

math.NA2019★ 5 cited

Localized model reduction for parameterized problems

Andreas Buhr, Laura Iapichino, Mario Ohlberger +3

In this contribution we present a survey of concepts in localized model order reduction methods for parameterized partial differential equations. The key concept of localized model…

math.NA2017★ 3 cited

Exponential Convergence of Online Enrichment in Localized Reduced Basis Methods

Andreas Buhr

Online enrichment is the extension of a reduced solution space based on the solution of the reduced model. Procedures for online enrichment were published for many localized model…

math.NA2017★ 49 cited

Randomized Local Model Order Reduction

Andreas Buhr, Kathrin Smetana

In this paper we propose local approximation spaces for localized model order reduction procedures such as domain decomposition and multiscale methods. Those spaces are constructed…

math.NA2016★ 6 cited

ArbiLoMod: Local Solution Spaces by Random Training in Electrodynamics

Andreas Buhr, Christian Engwer, Mario Ohlberger +1

The simulation method ArbiLoMod has the goal to provide users of Finite Element based simulation software with quick re-simulation after localized changes to the model under consid…

math.NA2015★ 24 cited

ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications

Andreas Buhr, Christian Engwer, Mario Ohlberger +1

Engineers manually optimizing a structure using Finite Element based simulation software often employ an iterative approach where in each iteration they change the structure slight…

math.NA2014★ 21 cited

A numerically stable a posteriori error estimator for reduced basis approximations of elliptic equations

Andreas Buhr, Christian Engwer, Mario Ohlberger +1

The Reduced Basis (RB) method is a well established method for the model order reduction of problems formulated as parametrized partial differential equations. One crucial requirem…