Publications by Author: Walther
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


Order by: [Title], [Author], [Editor], [Year]
Andrea Walther, Rama Raju Vetukuri, Lorenz T. Biegler
A first-order convergence analysis of trust-region methods with inexact Jacobians and inequality constraints
Article in Optimization Methods and Software, 2012
Application Area:
Optimization
Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Jan Riehme, Andrea Walther, Jörg Stiller, Uwe Naumann
Adjoints for Time-Dependent Optimal Control
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Optimal Control
Tools:
NAGWare Fortran 95
Andreas Griewank, David Juedes, H. Mitev, Jean Utke, Olaf Vogel, Andrea Walther
ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++
Institute of Scientific Computing, Technical University Dresden, 1999
Tools:
ADOL-C
Andreas Griewank, Andrea Walther
Algorithm 799: Revolve: An Implementation of Checkpoint for the Reverse or Adjoint Mode of Computational Differentiation
Article in ACM Transactions on Mathematical Software, 2000
Tools:
Treeverse / Revolve
Theory & Techniques:
Checkpointing
Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Uwe Naumann, Jean Utke, Andrea Walther
An Introduction to Developing and Using Software Tools for Automatic Differentiation
Conference proceeding, ECCOMAS 2004: Fourth European Congress on Computational Methods in Applied Sciences and Engineering, University of Jyväskylä, 2004
Tools:
OpenAD
Sebastian Schlenkrich, Andrea Walther, Andreas Griewank
Application of AD-based quasi-Newton-Methods to stiff ODEs
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Application Area:
Ordinary Differential Equations
Tools:
ADOL-C
Wolfram Klein, Andrea Walther
Application of Techniques of Computational Differentiation to a Cooling System
Article in Optimization Methods and Software, 2000
Application Area:
Control
Tools:
ADOL-C, FADBAD/TADIFF
N. Gauger, A. Walther, C. Moldenhauer, M. Widhalm
Automatic differentiation of an entire design chain with applications
Conference proceeding, New Results in Numerical and Experimental Fluid Mechanics VI, Springer, 2007
Application Area:
Computational Fluid Dynamics
Tools:
ADOL-C
Theory & Techniques:
Adjoint
Andrea Walther
Computing Sparse Hessians with Automatic Differentiation
Article in ACM Transaction on Mathematical Software, ACM, 2008
Application Area:
Optimization
Tools:
ADOL-C
Theory & Techniques:
Sparsity
S. Schlenkrich, A. Walther, N. R. Gauger, R. Heinrich
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics
Conference proceeding, Modeling, Simulation and Optimization of Complex Processes -- Proceedings of 3rd HPSC 2006, Springer, 2008
Application Area:
Computational Fluid Dynamics
Tools:
ADOL-C
Theory & Techniques:
Reverse Mode
Wolfram Klein, Andreas Griewank, Andrea Walther
Differentiation Methods for Industrial Strength Problems
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Electrical Engineering
Tools:
ADIFOR, ADOL-C, Odyssee
Andreas Kowarz, Andrea Walther
Efficient calculation of sensitivities for optimization problems
Article in Discussiones Mathematicae, Differential Inclusions, Control and Optimization, 2007
Application Area:
Optimization
Tools:
ADOL-C
Theory & Techniques:
Forward Mode, Implementation Strategies
A. H. Gebremedhin, A. Pothen, A. Tarafdar, A. Walther
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation
Article in INFORMS Journal on Computing, 2009
Tools:
ADOL-C, ColPack
Theory & Techniques:
graph coloring, Sparsity
Andreas Griewank, Andrea Walther
Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
SIAM, 2008
Theory & Techniques:
General, Introduction
R. Griesse, A. Walther
Evaluating Gradients in Optimal Control: Continuous Adjoints Versus Automatic Differentiation
Article in Journal of Optimization Theory and Applications, 2004
Application Area:
Control
Andreas Griewank, Jean Utke, Andrea Walther
Evaluating Higher Derivative Tensors by Forward Propagation of Univariate Taylor Series
Article in Mathematics of Computation, 2000
Tools:
ADOL-C
Benjamin Letschert, Kshitij Kulshreshtha, Andrea Walther, Duc Nguyen, Assefaw Gebremedhin, Alex Pothen
Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
Parallelism, Sparsity
Assefaw H. Gebremedhin, Alex Pothen, Andrea Walther
Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process
Advances in Automatic Differentiation, Springer, 2008
Tools:
ADOL-C
Theory & Techniques:
Sparsity

back
  

Contact:
autodiff.org
Username:
Password:
(lost password)