On the existence of convex decompositions of partially separable functions. - Andreas Griewank; Philippe L. Toint (Math. Program., 1984)

Exploiting parallelism in automatic differentiation. - Christian H. Bischof; Andreas Griewank; David W. Juedes (ICS, 1991)

The global convergence of partitioned BFGS on problems with convex decompositions and Lipschitzian gradients. - Andreas Griewank (Math. Program., 1991)

The equivalence of strict convexity and injectivity of the gradient in bounded level sets. - Andreas Griewank; Hubertus Th. Jongen; Man Kam Kwong (Math. Program., 1991)

ADIFOR: Automatic Differentiation in a Source Translator Environment. - Christian H. Bischof; Alan Carle; George F. Corliss; Andreas Griewank (ISSAC, 1992)

ADIFOR - Generating Derivative Codes form Fortran Programs. - Christian H. Bischof; Alan Carle; George F. Corliss; Andreas Griewank; Paul D. Hovland (Sci. Program., 1992)

Numerical Optimization At the Center for Research On Parallel Computation. - Brett M. Averick; Christian H. Bischof; Robert E. Bixby; Alan Carle; John E. Dennis Jr.; Mahmoud El-Alem; Amr El-Bakry; Andreas Griewank; G. Johnson; Robert M. Lewis; Jorge J. Moré; Richard A. Tapia; et al. (Int. J. High Perform. Comput. Appl., 1994)

Computing Large Sparse Jacobian Matrices Using Automatic Differentiation. - Brett M. Averick; Jorge J. Moré; Christian H. Bischof; Alan Carle; Andreas Griewank (SIAM J. Sci. Comput., 1994)

High-Order Stiff ODE Solvers via Automatic Differentiation and Rational Prediction. - George F. Corliss; Andreas Griewank; Petra Henneberger; Gabriela Kirlinger; Florian A. Potra; Hans J. Stetter (WNAA, 1996)

Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++. - Andreas Griewank; David W. Juedes; Jean Utke (ACM Trans. Math. Softw., 1996)

Circumventing Storage Limitations in Variational Data Assimilation Studies. - Juan M. Restrepo; Gary K. Leaf; Andreas Griewank (SIAM J. Sci. Comput., 1998)

Evaluating derivatives - principles and techniques of algorithmic differentiation. - Andreas Griewank (SIAM, 2000)

Evaluating higher derivative tensors by forward propagation of univariate Taylor series. - Andreas Griewank; Jean Utke; Andrea Walther (Math. Comput., 2000)

Algorithm 799: revolve: an implementation of checkpointing for the reverse or adjoint mode of computational differentiation. - Andreas Griewank; Andrea Walther (ACM Trans. Math. Softw., 2000)

Detecting Jacobian sparsity patterns by Bayesian probing. - Andreas Griewank; Christo Mitev (Math. Program., 2002)

Reduced Functions, Gradients and Hessians from Fixed-Point Iterations for State Equations. - Andreas Griewank; Christèle Faure (Numer. Algorithms, 2002)

On constrained optimization by adjoint based quasi-Newton methods. - Andreas Griewank; Andrea Walther (Optim. Methods Softw., 2002)

Analysis and Exploitation of Jacobian Scarcity. - Andreas Griewank; Olaf Vogel (HPSC, 2003)

Accumulating Jacobians as chained sparse matrix products. - Andreas Griewank; Uwe Naumann (Math. Program., 2003)

On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation. - Andreas Griewank; Andrea Walther (PARA, 2004)

Le retard en convergence des dérivées pour les calculs itératifs avec point fixe. - Andreas Griewank; Daniel Kressner (ARIMA J., 2005)

Yury G. Evtushenko - a tribute. - Oleg P. Burdakov; Andreas Griewank; Alexander V. Lotov (Optim. Methods Softw., 2005)

Maintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians. - Andreas Griewank; Andrea Walther; Maciek Korzec (Optim. Methods Softw., 2007)

Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition. - Andreas Griewank; Andrea Walther (SIAM, 2008)

Optimal r-order of an adjoint Broyden method without the assumption of linearly independent steps. - Andreas Griewank; Sebastian Schlenkrich; Andrea Walther (Optim. Methods Softw., 2008)

Algorithmic Differentiation Through Automatic Graph Elimination Ordering (ADTAGEO). - Jan Riehme; Andreas Griewank (Combinatorial Scientific Computing, 2009)

Complexity of Gradients, Jacobians, and Hessians. - Andreas Griewank (Encyclopedia of Optimization, 2009)

On the local convergence of adjoint Broyden methods. - Sebastian Schlenkrich; Andreas Griewank; Andrea Walther (Math. Program., 2010)

Properties of an augmented Lagrangian for design optimization. - Adel Hamdi; Andreas Griewank (Optim. Methods Softw., 2010)

Reduced quasi-Newton method for simultaneous design and optimization. - Adel Hamdi; Andreas Griewank (Comput. Optim. Appl., 2011)

A continuous framework for open pit mine planning. - Felipe Alvarez; Jorge Amaya; Andreas Griewank; Nikolai Strogies (Math. Methods Oper. Res., 2011)

Obituary for Charles Broyden. - Andreas Griewank (Optim. Methods Softw., 2011)

Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation. - Nicolas R. Gauger; Andreas Griewank; Adel Hamdi; Claudia Kratzenstein; Emre Özkaya; Thomas Slawig (Constrained Optimization and Optimal Control for Partial Differential Equations, 2012)

On the numerical stability of algorithmic differentiation. - Andreas Griewank; Kshitij Kulshreshtha; Andrea Walther (Computing, 2012)

Parametric approach to optimal control. - Amr Radwan; Olga Vasilieva; Rentsen Enkhbat; Andreas Griewank; J. Guddat (Optim. Lett., 2012)

From the Product Example to PDE Adjoints, Algorithmic Differentiation and Its Application (Invited Talk). - Andreas Griewank (CASC, 2013)

Representation and Analysis of Piecewise Linear Functions in Abs-Normal Form. - Tom Streubel; Andreas Griewank; Manuel Radons; Jens-Uwe Bernt (System Modelling and Optimization, 2013)

On stable piecewise linearization and generalized algorithmic differentiation. - Andreas Griewank (Optim. Methods Softw., 2013)

Adaptive sequencing of primal, dual, and design steps in simulation based optimization. - Torsten Bosse; Lutz Lehmann; Andreas Griewank (Comput. Optim. Appl., 2014)

Quasi-Monte Carlo methods for lattice systems: A first look. - Karl Jansen; Hernan Leovey; Andreas Ammon; Andreas Griewank; M. Müller-Preussker (Comput. Phys. Commun., 2014)

Automatic evaluations of cross-derivatives. - Andreas Griewank; Lutz Lehmann; Hernan Leovey; Marat Zilberman (Math. Comput., 2014)

Cubic overestimation and secant updating for unconstrained optimization of C2, 1 functions. - Andreas Griewank; Jonathan Fischer; Torsten Bosse (Optim. Methods Softw., 2014)

Obituary for Mike Powell. - Coralia Cartis; Andreas Griewank; Philippe L. Toint; Ya-Xiang Yuan (Optim. Methods Softw., 2015)

On Lipschitz optimization based on gray-box piecewise linearization. - Andreas Griewank; Andrea Walther; Sabrina Fiege; Torsten Bosse (Math. Program., 2016)

First- and second-order optimality conditions for piecewise smooth objective functions. - Andreas Griewank; Andrea Walther (Optim. Methods Softw., 2016)

High dimensional integration of kinks and jumps - Smoothing by preintegration. - Andreas Griewank; Frances Y. Kuo; Hernan Leövey; Ian H. Sloan (J. Comput. Appl. Math., 2018)

Preface. - Bruce Christianson; Shaun A. Forth; Andreas Griewank (Optim. Methods Softw., 2018)

Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization. - Sabrina Fiege; Andrea Walther; Kshitij Kulshreshtha; Andreas Griewank (Optim. Methods Softw., 2018)

Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation. - Andreas Griewank; Richard Hasenfelder; Manuel Radons; Lutz Lehmann; Tom Streubel (Optim. Methods Softw., 2018)

Piecewise linear secant approximation via algorithmic piecewise differentiation. - Andreas Griewank; Tom Streubel; Lutz Lehmann; Manuel Radons; Richard Hasenfelder (Optim. Methods Softw., 2018)

Piecewise smooth system and optimization with piecewise linearization via algorithmic differentiation (NII Shonan Meeting 2018-9). - Andreas Griewank; Andrea Walther; Koichi Kubota; Siegfried M. Rump (NII Shonan Meet. Rep., 2018)

Treating Artificial Neural Net Training as a Nonsmooth Global Optimization Problem. - Andreas Griewank; Angel Rojas (LOD, 2019)

An algorithm for nonsmooth optimization by successive piecewise linearization. - Sabrina Fiege; Andrea Walther; Andreas Griewank (Math. Program., 2019)

Finite convergence of an active signature method to local minima of piecewise linear functions. - Andreas Griewank; Andrea Walther (Optim. Methods Softw., 2019)

Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization. - Andreas Griewank; Andrea Walther (SIAM J. Optim., 2019)

Characterizing and Testing Subdifferential Regularity in Piecewise Smooth Optimization. - Andrea Walther; Andreas Griewank (SIAM J. Optim., 2019)

Polyhedral DC Decomposition and DCA Optimization of Piecewise Linear Functions. - Andreas Griewank; Andrea Walther (Algorithms, 2020)

On the abs-polynomial expansion of piecewise smooth functions. - Andreas Griewank; Tom Streubel; Caren Tischendorf (Optim. Methods Softw., 2021)

A semismooth conjugate gradients method - theoretical analysis. - Franz Bethke; Andreas Griewank; Andrea Walther (Optim. Methods Softw., 2024)