activity
20132022
most citedemgr - The Empirical Gramian Framework

47 citations · 253 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CE2022★ 2 cited

emgr -- EMpirical GRamian Framework Version 5.99

Christian Himpe

Version 5.99 of the empirical Gramian framework -- "emgr" -- completes a development cycle which focused on parametric model order reduction of gas network models while preserving…

math.OC2021

Next-Gen Gas Network Simulation

Christian Himpe, Sara Grundel, Peter Benner

To overcome many-query optimization, control, or uncertainty quantification work loads in reliable gas and energy network operations, model order reduction is the mathematical tech…

math.OC2020★ 19 cited

Model Order Reduction for Gas and Energy Networks

Christian Himpe, Sara Grundel, Peter Benner

To counter the volatile nature of renewable energy sources, gas networks take a vital role. But, to ensure fulfillment of contracts under these circumstances, a vast number of poss…

math.OC2020

Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms

Christian Himpe

In this work, the empirical-Gramian-based model reduction methods: Empirical poor man's truncated balanced realization, empirical approximate balancing, empirical dominant subspace…

cs.GL2019★ 3 cited

Sustainable Research Software Hand-Over

Jörg Fehr, Christian Himpe, Stephan Rave +1

Scientific software projects evolve rapidly in their initial development phase, yet at the end of a funding period, the completion of a research project, thesis, or publication, fu…

math.OC2018

Cross-Gramian-Based Dominant Subspaces

Peter Benner, Christian Himpe

A standard approach for model reduction of linear input-output systems is balanced truncation, which is based on the controllability and observability properties of the underlying…

eess.SY2017

On Reduced Input-Output Dynamic Mode Decomposition

Peter Benner, Christian Himpe, Tim Mitchell

The identification of reduced-order models from high-dimensional data is a challenging task, and even more so if the identified system should not only be suitable for a certain dat…

cs.MS2016★ 47 cited

emgr - The Empirical Gramian Framework

Christian Himpe

System Gramian matrices are a well-known encoding for properties of input-output systems such as controllability, observability or minimality. These so-called system Gramians were…

cs.MS2016★ 45 cited

Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software

Jörg Fehr, Jan Heiland, Christian Himpe +1

Over the recent years the importance of numerical experiments has gradually been more recognized. Nonetheless, sufficient documentation of how computational results have been obtai…

math.NA2016★ 42 cited

Hierarchical Approximate Proper Orthogonal Decomposition

Christian Himpe, Tobias Leibner, Stephan Rave

Proper Orthogonal Decomposition (POD) is a widely used technique for the construction of low-dimensional approximation spaces from high-dimensional input data. For large-scale appl…

math.OC2016

Cross-Gramian-Based Model Reduction: A Comparison

Christian Himpe, Mario Ohlberger

As an alternative to the popular balanced truncation method, the cross Gramian matrix induces a class of balancing model reduction techniques. Besides the classical computation of…

math.OC2015★ 22 cited

A Note on the Cross Gramian for Non-Symmetric Systems

Christian Himpe, Mario Ohlberger

The cross gramian matrix is a tool for model reduction and system identification, but it is only computable for square control systems. For symmetric systems the cross gramian poss…

math.OC2014★ 17 cited

Data-Driven Combined State and Parameter Reduction for Extreme-Scale Inverse Problems

Christian Himpe, Mario Ohlberger

In this contribution we present an accelerated optimization-based approach for combined state and parameter reduction of a parametrized linear control system which is then used as…

math.OC2013★ 2 cited

Model Reduction for Complex Hyperbolic Networks

Christian Himpe, Mario Ohlberger

We recently introduced the joint gramian for combined state and parameter reduction [C. Himpe and M. Ohlberger. Cross-Gramian Based Combined State and Parameter Reduction for Large…

math.OC2013★ 34 cited

Cross-Gramian-Based Combined State and Parameter Reduction for Large-Scale Control Systems

Christian Himpe, Mario Ohlberger

This work introduces the empirical cross gramian for multiple-input-multiple-output systems. The cross gramian is a tool for reducing the state space of control systems, which conj…

math.OC2013★ 20 cited

A Unified Software Framework for Empirical Gramians

Christian Himpe, Mario Ohlberger

A common approach in model reduction is balanced truncation, which is based on gramian matrices classifiying certain attributes of states or parameters of a given dynamic system. I…