Publications by Author: Griewank
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Order by: [Title], [Author], [Editor], [Year]
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
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
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
Andreas Griewank
Sequential Evaluations of Adjoints and Higher Derivative Vectors by Overloading and Reverse Accumulation
Konrad-Zuse-Zentrum für Informationstechnik Berlin, 1991
not yet classified
Andreas Griewank
Some Bounds on the Complexity of Gradients, Jacobians, and Hessians
Complexity in Nonlinear Optimization, World Scientific Publishers, 1993
not yet classified
Christian H. Bischof, George F. Corliss, Andreas Griewank
Structured Second- and Higher-Order Derivatives Through Univariate Taylor Series
Article in Optimization Methods and Software, 1993
not yet classified
Christian Bischof, George Corliss, Andreas Griewank
Structured Second- and Higher-Order Derivatives Through Univariate Taylor Series
Mathematics and Computer Science Division, Argonne National Laboratory, 1992
not yet classified
Andreas Griewank
The Chain Rule Revisited in Scientific Computing
Article in SIAM News, 1991
not yet classified
Andreas Griewank, Arun Verma
The Newsam-Ramsdell-Lagrange Method for Calculating Sparse Jacobians
TU Dresden, 2001
Theory & Techniques:
Sparsity
Torsten Bosse, Andreas Griewank
The Relative Cost of Function and Derivative Evaluations in the CUTEr Test Set
Recent Advances in Algorithmic Differentiation, Springer, 2012
not yet classified
Andreas Griewank, Christo Mitev
Verifying Jacobian Sparsity
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity
Christian H. Bischof, Andreas Griewank, Peyvand M. Khademi
Workshop Report on First Theory Institute on Computational Differentiation
Mathematics and Computer Science Division, Argonne National Laboratory, 1993
not yet classified

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