Andrea Walther

66 papers C 1Misc 4Journal 49Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Stringent is the Linear Independence Kink Qualification in Abs-Smooth Optimization?
J. Optim. Theory Appl.
Lukas Baumgärtner, Franz Bethke, Ganna Shyshkanova, Andrea Walther
2026 J jnl
On solving nonsmooth retail portfolio maximization problems using active signature methods.
Comput. Manag. Sci.
Aswin Kannan, Timo Kreimeier, Andrea Walther
2026 J jnl
Stochastic Dynamical Low-Rank Approximation in the Context of Machine Learning.
J. Optim. Theory Appl.
Arsen Hnatiuk, Jonas Kusch, Lisa Kusch, Nicolas R. Gauger, Andrea Walther
2025 J jnl
Collapsing Taylor Mode Automatic Differentiation.
CoRR
Felix Dangel, Tim Siebert, Marius Zeinhofer, Andrea Walther
2024 J jnl
A semismooth conjugate gradients method - theoretical analysis.
Optim. Methods Softw.
Franz Bethke, Andreas Griewank, Andrea Walther
2023 J jnl
A Two-Step Machine Learning Method for Predicting the Formation Energy of Ternary Compounds.
Comput.
Varadarajan Rengaraj, Sebastian Jost, Franz Bethke, Christian Plessl, Hossein Mirhosseini, Andrea Walther, Thomas D. Kühne
2023 J jnl
Experimental validation of an inverse method for defect reconstruction in a 2D waveguide model.
CoRR
Jannis Bulling, Benjamin Jurgelucks, Jens Prager, Andrea Walther
2023 J jnl
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction.
CoRR
Moritz Piening, Fabian Altekrüger, Johannes Hertrich, Paul Hagemann, Andrea Walther, Gabriele Steidl
2022 C conf
Towards the Solution of Robust Gas Network Optimization Problems Using the Constrained Active Signature Method.
INOC
Timo Kreimeier, Martina Kuchlbauer, Frauke Liers, Michael Stingl, Andrea Walther
2021 J jnl
Defect reconstruction in a 2D semi-analytical waveguide model via derivative-based optimization.
CoRR
Jannis Bulling, Benjamin Jurgelucks, Jens Prager, Andrea Walther
2020 J jnl
An introduction to algorithmic differentiation.
WIREs Data Mining Knowl. Discov.
Assefaw H. Gebremedhin, Andrea Walther
2020 — conf
Checkpointing Approaches for the Computation of Adjoints Covering Resilience Issues.
CSC
Arne Bockhorn, Sri Hari Krishna Narayanan, Andrea Walther
2020 J jnl
Polyhedral DC Decomposition and DCA Optimization of Piecewise Linear Functions.
Algorithms
Andreas Griewank, Andrea Walther
2019 J jnl
An algorithm for nonsmooth optimization by successive piecewise linearization.
Math. Program.
Sabrina Fiege, Andrea Walther, Andreas Griewank
2019 J jnl
Characterizing and Testing Subdifferential Regularity in Piecewise Smooth Optimization.
SIAM J. Optim.
Andrea Walther, Andreas Griewank
2019 J jnl
Finite convergence of an active signature method to local minima of piecewise linear functions.
Optim. Methods Softw.
Andreas Griewank, Andrea Walther
2019 J jnl
Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization.
SIAM J. Optim.
Andreas Griewank, Andrea Walther
2018 J jnl
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.
Optim. Methods Softw.
Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger
2018 J jnl
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization.
Optim. Methods Softw.
Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank
2018 J jnl
Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver.
Optim. Methods Softw.
Mladen Banovic, Orest Mykhaskiv, Salvatore Auriemma, Andrea Walther, Herve Legrand, Jens-Dominik Müller
2018 J jnl
Efficient Numerical Solution of Geometric Inverse Problems Involving Maxwell's Equations Using Shape Derivatives and Automatic Code Generation.
SIAM J. Sci. Comput.
Stephan Schmidt, Maria Schutte, Andrea Walther
2018 J jnl
High-level python abstractions for optimal checkpointing in inversion problems.
CoRR
Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman
2018 J jnl
Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation.
Optim. Methods Softw.
Benjamin Jurgelucks, Leander Claes, Andrea Walther, Bernd Henning
2018 J jnl
Piecewise smooth system and optimization with piecewise linearization via algorithmic differentiation (NII Shonan Meeting 2018-9).
NII Shonan Meet. Rep.
Andreas Griewank, Andrea Walther, Koichi Kubota, Siegfried M. Rump
2017 J jnl
Compile-Time Symbolic Differentiation Using C++ Expression Templates.
CoRR
Drosos Kourounis, Leonidas Gergidis, Michael A. Saunders, Andrea Walther, Olaf Schenk
2017 — conf
Towards Adjoint and Directional Derivatives in FMI utilizing ADOL-C within OpenModelica.
Modelica
Willi Braun, Kshitij Kulshreshtha, Rüdiger Franke, Andrea Walther, Bernhard Bachmann
2016 J jnl
First- and second-order optimality conditions for piecewise smooth objective functions.
Optim. Methods Softw.
Andreas Griewank, Andrea Walther
2016 J jnl
On Lipschitz optimization based on gray-box piecewise linearization.
Math. Program.
Andreas Griewank, Andrea Walther, Sabrina Fiege, Torsten Bosse
2016 J jnl
On an extension of one-shot methods to incorporate additional constraints.
Optim. Methods Softw.
Andrea Walther, Nicolas R. Gauger, Lisa Kusch, Natalie Richert
2016 J jnl
On an inexact trust-region SQP-filter method for constrained nonlinear optimization.
Comput. Optim. Appl.
Andrea Walther, Lorenz T. Biegler
2014 — conf
SCADOPT: An Open-Source HPC Framework for Solving PDE Constrained Optimization Problems Using AD.
HPCC/CSS/ICESS
Kim Feldhoff, Martin Flehmig, Ulf Markwardt, Wolfgang E. Nagel, Maria Schutte, Andrea Walther
2013 — conf
Low-noise CMOS analog-to-digital interface for MEMS resistive microphone.
ICECS
Jamel Nebhen, Eric Savary, Wenceslas Rahajandraibe, Christian Dufaza, Stéphane Meillére, Fayrouz Haddad, Edith Kussener, Hervé Barthélemy, Jaroslaw Czarny, Andrea Walther
2012 J jnl
A first-order convergence analysis of trust-region methods with inexact Jacobians and inequality constraints.
Optim. Methods Softw.
Andrea Walther, Sree Rama Raju Vetukuri, Lorenz T. Biegler
2012 Misc conf
Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres.
HPSC
Tobias Steinle, Jadran Vrabec, Andrea Walther
2012 J jnl
On the numerical stability of algorithmic differentiation.
Computing
Andreas Griewank, Kshitij Kulshreshtha, Andrea Walther
2012 J jnl
Preface.
Optim. Methods Softw.
Bruce Christianson, Uwe Naumann, Jean Utke, Andrea Walther
2012 — ch.
Structure Exploiting Adjoints for Finite Element Discretizations.
Constrained Optimization and Optimal Control for Partial Differential Equations
Denise Holfeld, Philipp Stumm, Andrea Walther
2011 J jnl
Numerical experiments with an inexact Jacobian trust-region algorithm.
Comput. Optim. Appl.
Andrea Walther, Lorenz T. Biegler
2010 J jnl
An adjoint-based SQP algorithm with quasi-Newton Jacobian updates for inequality constrained optimization.
Optim. Methods Softw.
Moritz Diehl, Andrea Walther, Hans Georg Bock, Ekaterina A. Kostina
2010 J jnl
New Algorithms for Optimal Online Checkpointing.
SIAM J. Sci. Comput.
Philipp Stumm, Andrea Walther
2010 J jnl
On the efficient computation of high-order derivatives for implicitly defined functions.
Comput. Phys. Commun.
Mathias Wagner, Andrea Walther, Bernd-Jochen Schaefer
2010 J jnl
On the local convergence of adjoint Broyden methods.
Math. Program.
Sebastian Schlenkrich, Andreas Griewank, Andrea Walther
2009 J jnl
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS J. Comput.
Assefaw Hadish Gebremedhin, Arijit Tarafdar, Alex Pothen, Andrea Walther
2009 — conf
Getting Started with ADOL-C.
Combinatorial Scientific Computing
Andrea Walther
2009 J jnl
MultiStage Approaches for Optimal Offline Checkpointing.
SIAM J. Sci. Comput.
Philipp Stumm, Andrea Walther
2008 J jnl
A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians.
SIAM J. Optim.
Andrea Walther
2008 J jnl
Computing sparse Hessians with automatic differentiation.
ACM Trans. Math. Softw.
Andrea Walther
2008 — book
Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition.
Andreas Griewank, Andrea Walther
2008 J jnl
Optimal
Optim. Methods Softw.
Andreas Griewank, Sebastian Schlenkrich, Andrea Walther
2008 — conf
Parallel Derivative Computation using ADOL-C.
PASA
Andreas Kowarz, Andrea Walther
2007 J jnl
Adjoint concepts for the optimal control of Burgers equation.
Comput. Optim. Appl.
Antje Noack, Andrea Walther
2007 J jnl
Automatic differentiation of explicit Runge-Kutta methods for optimal control.
Comput. Optim. Appl.
Andrea Walther
2007 J jnl
Maintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians.
Optim. Methods Softw.
Andreas Griewank, Andrea Walther, Maciek Korzec
2006 Misc conf
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics.
HPSC
Sebastian Schlenkrich, Andrea Walther, Nicolas R. Gauger, Ralf Heinrich
2006 — conf
Online Checkpointing for Parallel Adjoint Computation in PDEs: Application to Goal-Oriented Adaptivity and Flow Control.
Euro-Par
Vincent Heuveline, Andrea Walther
2006 Misc conf
Optimal Checkpointing for Time-Stepping Procedures in ADOL-C.
International Conference on Computational Science (4)
Andreas Kowarz, Andrea Walther
2004 J jnl
Bounding the Number of Processors and Checkpoints Needed in Time-minimal Parallel Reversal Schedules.
Computing
Andrea Walther
2004 — conf
On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation.
PARA
Andreas Griewank, Andrea Walther
2004 J jnl
Program reversals for evolutions with non-uniform step costs.
Acta Informatica
Andrea Walther
2003 J jnl
An Introduction to Using Software Tools for Automatic Differentiation
CoRR
Uwe Naumann, Andrea Walther
2002 J jnl
On constrained optimization by adjoint based quasi-Newton methods.
Optim. Methods Softw.
Andreas Griewank, Andrea Walther
2002 Misc conf
The Implementation and Testing of Time-Minimal and Resource-Optimal Parallel Reversal Schedules.
International Conference on Computational Science (2)
Uwe Lehmann, Andrea Walther
2001 — conf
Adjoint Calculation Using Time-Minimal Program Reversals for Multi-Processor Machines.
System Modelling and Optimization
Andrea Walther, Uwe Lehmann
2000 J jnl
Algorithm 799: revolve: an implementation of checkpointing for the reverse or adjoint mode of computational differentiation.
ACM Trans. Math. Softw.
Andreas Griewank, Andrea Walther
2000 J jnl
Evaluating higher derivative tensors by forward propagation of univariate Taylor series.
Math. Comput.
Andreas Griewank, Jean Utke, Andrea Walther
1999 — —
Program reversal schedules for single and multi-processor machines.
Andrea Walther