Andrea Walther
According to our database1,
Andrea Walther
authored at least 46 papers
between 1999 and 2018.
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Bibliography
2018
Efficient Numerical Solution of Geometric Inverse Problems Involving Maxwell's Equations Using Shape Derivatives and Automatic Code Generation.
SIAM J. Scientific Computing, 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
2017
Compile-Time Symbolic Differentiation Using C++ Expression Templates.
CoRR, 2017
2016
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.
Comp. Opt. and 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
Low-noise CMOS analog-to-digital interface for MEMS resistive microphone.
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.
Optimization Methods and Software, 2012
Preface.
Optimization Methods and Software, 2012
On the numerical stability of algorithmic differentiation.
Computing, 2012
Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres.
Proceedings of the Modeling, Simulation and Optimization of Complex Processes, 2012
2011
Numerical experiments with an inexact Jacobian trust-region algorithm.
Comp. Opt. and Appl., 2011
2010
New Algorithms for Optimal Online Checkpointing.
SIAM J. Scientific Computing, 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.
Computer Physics Communications, 2010
2009
MultiStage Approaches for Optimal Offline Checkpointing.
SIAM J. Scientific Computing, 2009
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS Journal on Computing, 2009
Getting Started with ADOL-C.
Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009
2008
Computing sparse Hessians with automatic differentiation.
ACM Trans. Math. Softw., 2008
A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians.
SIAM Journal on Optimization, 2008
Optimal r-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 (2. ed.).
SIAM, ISBN: 978-0-89871-659-7, 2008
2007
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.
Comp. Opt. and Appl., 2007
Adjoint concepts for the optimal control of Burgers equation.
Comp. Opt. and Appl., 2007
2006
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
2004
Bounding the Number of Processors and Checkpoints Needed in Time-minimal Parallel Reversal Schedules.
Computing, 2004
Program reversals for evolutions with non-uniform step costs.
Acta Inf., 2004
On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation.
Proceedings of the Applied Parallel Computing, 2004
2003
An Introduction to Using Software Tools for Automatic Differentiation
CoRR, 2003
2002
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
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
Program reversal schedules for single and multi-processor machines.
PhD thesis, 1999