Publications by Author: Griewank
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Order by: [Title], [Author], [Editor], [Year]
Andreas Griewank, Shawn Reese
On the Calculation of Jacobian Matrices by the Markowitz Rule
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM, 1991
Theory & Techniques:
X-Country
Bruce Christianson, Shaun A. Forth, Andreas Griewank
Preface
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
General
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
Andreas Griewank, Richard Hasenfelder, Manuel Radons, Lutz Lehmann, Tom Streubel
Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Andreas Griewank, Tom Streubel, Lutz Lehmann, Manuel Radons, Richard Hasenfelder
Piecewise linear secant approximation via algorithmic piecewise differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
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 Griewank, Christo Mitev
Verifying Jacobian Sparsity
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity
Andrea Walther, Andreas Griewank
New Results on Program Reversals
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Checkpointing
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
Julia Sternberg, Andreas Griewank
Reduction of Storage Requirement by Checkpointing for Time-dependent Optimal Control Problems in ODEs
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Application Area:
Optimal Control
Theory & Techniques:
Checkpointing
Uwe Geitner, Jean Utke, Andreas Griewank
Automatic Computation of Sparse Jacobians by Applying the Method of Newsam and Ramsdell
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
Sparsity
Andreas Griewank
Direct Calculation of Newton Steps without Accumulating Jacobians
Large-Scale Numerical Optimization, SIAM, 1990
not yet classified

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