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20122019
most citedA Traveling Salesman Learns Bayesian Networks

1 citations · 2 across the 5 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.OC2019

ROM-based multiobjective optimization of elliptic PDEs via numerical continuation

Stefan Banholzer, Bennet Gebken, Michael Dellnitz +2

Multiobjective optimization plays an increasingly important role in modern applications, where several objectives are often of equal importance. The task in multiobjective optimiza…

cs.LG2019

Deep Model Predictive Control with Online Learning for Complex Physical Systems

Katharina Bieker, Sebastian Peitz, Steven L. Brunton +2

The control of complex systems is of critical importance in many branches of science, engineering, and industry. Controlling an unsteady fluid flow is particularly important, as fl…

math.DS20191 cited

Revealing the intrinsic geometry of finite dimensional invariant sets of infinite dimensional dynamical systems

Raphael Gerlach, Péter Koltai, Michael Dellnitz

Embedding techniques allow the approximations of finite dimensional attractors and manifolds of infinite dimensional dynamical systems via subdivision and continuation methods. The…

math.DS2019

A set-oriented path following method for the approximation of parameter dependent attractors

R. Gerlach, A. Ziessler, B. Eckhardt +1

In this work we present a set-oriented path following method for the computation of relative global attractors of parameter-dependent dynamical systems. We start with an initial ap…

math.DS2019

On the Equivariance Properties of Self-adjoint Matrices

Michael Dellnitz, Bennet Gebken, Raphael Gerlach +1

We investigate self-adjoint matrices with respect to their equivariance properties. We show in particular that a matrix is self-adjoint if and only if it is…