Andrea Walther

According to our database1, Andrea Walther authored at least 54 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An introduction to algorithmic differentiation.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2020

Checkpointing Approaches for the Computation of Adjoints Covering Resilience Issues.
Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, 2020

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.
Optimization Methods and Software, 2019

An algorithm for nonsmooth optimization by successive piecewise linearization.
Math. Program., 2019

Efficient Numerical Solution of Geometric Inverse Problems Involving Maxwell's Equations Using Shape Derivatives and Automatic Code Generation.
SIAM J. Sci. Comput., 2018

A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.
Optimization Methods and Software, 2018

Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation.
Optimization Methods and Software, 2018

Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization.
Optimization Methods and Software, 2018

Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver.
Optimization Methods and Software, 2018

High-level python abstractions for optimal checkpointing in inversion problems.
CoRR, 2018

Compile-Time Symbolic Differentiation Using C++ Expression Templates.
CoRR, 2017

Towards Adjoint and Directional Derivatives in FMI utilizing ADOL-C within OpenModelica.
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, 2017

On an extension of one-shot methods to incorporate additional constraints.
Optimization Methods and Software, 2016

First- and second-order optimality conditions for piecewise smooth objective functions.
Optimization Methods and Software, 2016

On Lipschitz optimization based on gray-box piecewise linearization.
Math. Program., 2016

On an inexact trust-region SQP-filter method for constrained nonlinear optimization.
Comput. Optim. Appl., 2016

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

Low-noise CMOS analog-to-digital interface for MEMS resistive microphone.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

A first-order convergence analysis of trust-region methods with inexact Jacobians and inequality constraints.
Optimization Methods and Software, 2012

Optimization Methods and Software, 2012

On the numerical stability of algorithmic differentiation.
Comput., 2012

Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres.
Proceedings of the Modeling, Simulation and Optimization of Complex Processes, 2012

Structure Exploiting Adjoints for Finite Element Discretizations.
Proceedings of the Constrained Optimization and Optimal Control for Partial Differential Equations, 2012

Numerical experiments with an inexact Jacobian trust-region algorithm.
Comput. Optim. Appl., 2011

New Algorithms for Optimal Online Checkpointing.
SIAM J. Sci. Comput., 2010

An adjoint-based SQP algorithm with quasi-Newton Jacobian updates for inequality constrained optimization.
Optimization Methods and Software, 2010

On the local convergence of adjoint Broyden methods.
Math. Program., 2010

On the efficient computation of high-order derivatives for implicitly defined functions.
Comput. Phys. Commun., 2010

MultiStage Approaches for Optimal Offline Checkpointing.
SIAM J. Sci. Comput., 2009

Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS J. Comput., 2009

Getting Started with ADOL-C.
Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009

Computing sparse Hessians with automatic differentiation.
ACM Trans. Math. Softw., 2008

A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians.
SIAM J. Optim., 2008

Optimal <i>r</i>-order of an adjoint Broyden method without the assumption of linearly independent steps.
Optimization Methods and Software, 2008

Parallel Derivative Computation using ADOL-C.
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

Maintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians.
Optimization Methods and Software, 2007

Automatic differentiation of explicit Runge-Kutta methods for optimal control.
Comput. Optim. Appl., 2007

Adjoint concepts for the optimal control of Burgers equation.
Comput. Optim. Appl., 2007

Optimal Checkpointing for Time-Stepping Procedures in ADOL-C.
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

Bounding the Number of Processors and Checkpoints Needed in Time-minimal Parallel Reversal Schedules.
Comput., 2004

Program reversals for evolutions with non-uniform step costs.
Acta Informatica, 2004

On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation.
Proceedings of the Applied Parallel Computing, 2004

An Introduction to Using Software Tools for Automatic Differentiation
CoRR, 2003

On constrained optimization by adjoint based quasi-Newton methods.
Optimization Methods and Software, 2002

The Implementation and Testing of Time-Minimal and Resource-Optimal Parallel Reversal Schedules.
Proceedings of the Computational Science - ICCS 2002, 2002

Adjoint Calculation Using Time-Minimal Program Reversals for Multi-Processor Machines.
Proceedings of the System Modelling and Optimization XX, 2001

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

Program reversal schedules for single and multi-processor machines.
PhD thesis, 1999