activity
20132026
most citedThe method of freezing as a new tool for nonlinear reduced basis approximation of parameterized evolution equations

131 citations · 545 across the 59 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

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.NA2013★ 15 cited

Adaptive Heterogeneous Multiscale Methods for immiscible two-phase flow in porous media

Patrick Henning, Mario Ohlberger, Ben Schweizer

In this contribution we present the first formulation of a heterogeneous multiscale method for an incompressible immiscible two-phase flow system with degenerate permeabilities. Th…

math.NA2013★ 131 cited

The method of freezing as a new tool for nonlinear reduced basis approximation of parameterized evolution equations

Mario Ohlberger, Stephan Rave

We present a new method for the nonlinear approximation of the solution manifolds of parameterized nonlinear evolution problems, in particular in hyperbolic regimes with moving dis…

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.NA2013★ 14 cited

Unsaturated subsurface flow with surface water and nonlinear in- and outflow conditions

Heiko Berninger, Mario Ohlberger, Oliver Sander +1

We analytically and numerically analyze groundwater flow in a homogeneous soil described by the Richards equation, coupled to surface water represented by a set of ordinary differe…

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…