Andrea Walther
Orcid: 0000-0002-3516-4641Affiliations:
- Humboldt University of Berlin, Germany
According to our database1,
Andrea Walther
authored at least 61 papers
between 1999 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Two-Step Machine Learning Method for Predicting the Formation Energy of Ternary Compounds.
Comput., May, 2023
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction.
CoRR, 2023
Experimental validation of an inverse method for defect reconstruction in a 2D waveguide model.
CoRR, 2023
2022
Towards the Solution of Robust Gas Network Optimization Problems Using the Constrained Active Signature Method.
Proceedings of the 10th International Network Optimization Conference, 2022
2021
Defect reconstruction in a 2D semi-analytical waveguide model via derivative-based optimization.
CoRR, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Algorithms, 2020
Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, 2020
2019
Characterizing and Testing Subdifferential Regularity in Piecewise Smooth Optimization.
SIAM J. Optim., 2019
Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization.
SIAM J. Optim., 2019
Finite convergence of an active signature method to local minima of piecewise linear functions.
Optim. Methods Softw., 2019
Math. Program., 2019
2018
Efficient Numerical Solution of Geometric Inverse Problems Involving Maxwell's Equations Using Shape Derivatives and Automatic Code Generation.
SIAM J. Sci. Comput., 2018
Piecewise smooth system and optimization with piecewise linearization via algorithmic differentiation (NII Shonan Meeting 2018-9).
NII Shonan Meet. Rep., 2018
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.
Optim. Methods Softw., 2018
Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation.
Optim. Methods Softw., 2018
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization.
Optim. Methods Softw., 2018
Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver.
Optim. Methods Softw., 2018
CoRR, 2018
2017
Towards Adjoint and Directional Derivatives in FMI utilizing ADOL-C within OpenModelica.
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, 2017
2016
Optim. Methods Softw., 2016
First- and second-order optimality conditions for piecewise smooth objective functions.
Optim. Methods Softw., 2016
Math. Program., 2016
Comput. Optim. Appl., 2016
2014
SCADOPT: An Open-Source HPC Framework for Solving PDE Constrained Optimization Problems Using AD.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014
2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
2012
A first-order convergence analysis of trust-region methods with inexact Jacobians and inequality constraints.
Optim. Methods Softw., 2012
Proceedings of the Modeling, Simulation and Optimization of Complex Processes, 2012
Proceedings of the Constrained Optimization and Optimal Control for Partial Differential Equations, 2012
2011
Comput. Optim. Appl., 2011
2010
An adjoint-based SQP algorithm with quasi-Newton Jacobian updates for inequality constrained optimization.
Optim. Methods Softw., 2010
On the efficient computation of high-order derivatives for implicitly defined functions.
Comput. Phys. Commun., 2010
2009
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS J. Comput., 2009
Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009
2008
ACM Trans. Math. Softw., 2008
SIAM J. Optim., 2008
Optimal <i>r</i>-order of an adjoint Broyden method without the assumption of linearly independent steps.
Optim. Methods Softw., 2008
Proceedings of the 9th Workshop on Parallel Systems and Algorithms (PASA) held at the 21st Conference on the Architecture of Computing Systems (ARCS), 2008
Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition.
SIAM, ISBN: 978-0-89871-659-7, 2008
2007
Maintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians.
Optim. Methods Softw., 2007
Comput. Optim. Appl., 2007
Comput. Optim. Appl., 2007
2006
Proceedings of the Computational Science, 2006
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics.
Proceedings of the Modeling, 2006
Online Checkpointing for Parallel Adjoint Computation in PDEs: Application to Goal-Oriented Adaptivity and Flow Control.
Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006
2004
Bounding the Number of Processors and Checkpoints Needed in Time-minimal Parallel Reversal Schedules.
Computing, 2004
On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation.
Proceedings of the Applied Parallel Computing, 2004
2003
2002
Optim. Methods Softw., 2002
The Implementation and Testing of Time-Minimal and Resource-Optimal Parallel Reversal Schedules.
Proceedings of the Computational Science - ICCS 2002, 2002
2001
Adjoint Calculation Using Time-Minimal Program Reversals for Multi-Processor Machines.
Proceedings of the System Modelling and Optimization XX, 2001
2000
Algorithm 799: revolve: an implementation of checkpointing for the reverse or adjoint mode of computational differentiation.
ACM Trans. Math. Softw., 2000
Evaluating higher derivative tensors by forward propagation of univariate Taylor series.
Math. Comput., 2000
1999