8 citations · 10 across the 5 of their papers we have counts for
7 papers · 1 filter
Layer-Parallel Training of Deep Residual Neural Networks
S. Günther, L. Ruthotto, J. B. Schroder +2
Residual neural networks (ResNets) are a promising class of deep neural networks that have shown excellent performance for a number of learning tasks, e.g., image classification an…
Global Aerodynamic Design Optimization via Primal-Dual Aggregation Method
Emre Özkaya, Nicolas R. Gauger
Global aerodynamic design optimization using Euler or Navier-Stokes equations requires very reliable surrogate modeling techniques since the computational effort for the underlying…
An Approximate Newton Smoothing Method for Shape Optimization
Jonas Kusch, Stephan Schmidt, Nicolas R. Gauger
A novel methodology to efficiently approximate the Hessian for numerical shape optimization is considered. The method enhances operator symbol approximations by including body fitt…
On the Stability of Gradient Based Turbulent Flow Control without Regularization
Emre Özkaya, Nicolas R. Gauger, Daniel Marinc +1
In this paper, we discuss selected adjoint approaches for the turbulent flow control. In particular, we focus on the application of adjoint solvers for the scope of noise reduction…
A Non-Intrusive Parallel-in-Time Approach for Simultaneous Optimization with Unsteady PDEs
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
This paper presents a non-intrusive framework for integrating existing unsteady partial differential equation (PDE) solvers into a parallel-in-time simultaneous optimization algori…
A Non-Intrusive Parallel-in-Time Adjoint Solver with the XBraid Library
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
In this paper, an adjoint solver for the multigrid in time software library XBraid is presented. XBraid provides a non-intrusive approach for simulating unsteady dynamics on multip…