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ORCIDAndreas Griewank
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- award (2001): Max Planck Research Award
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2020 – today
- 2024
[j45]Franz Bethke
, Andreas Griewank, Andrea Walther:
A semismooth conjugate gradients method - theoretical analysis. Optim. Methods Softw. 39(4): 911-935 (2024)- 2021
- [j44]Andreas Griewank, Tom Streubel, Caren Tischendorf:
On the abs-polynomial expansion of piecewise smooth functions. Optim. Methods Softw. 36(2-3): 301-315 (2021) - 2020
- [j43]Andreas Griewank, Andrea Walther:
Polyhedral DC Decomposition and DCA Optimization of Piecewise Linear Functions. Algorithms 13(7): 166 (2020)
2010 – 2019
- 2019
- [j42]Sabrina Fiege, Andrea Walther, Andreas Griewank:
An algorithm for nonsmooth optimization by successive piecewise linearization. Math. Program. 177(1-2): 343-370 (2019) - [j41]Andreas Griewank, Andrea Walther:
Finite convergence of an active signature method to local minima of piecewise linear functions. Optim. Methods Softw. 34(5): 1035-1055 (2019) - [j40]Andreas Griewank, Andrea Walther:
Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization. SIAM J. Optim. 29(1): 262-289 (2019) - [j39]Andrea Walther, Andreas Griewank:
Characterizing and Testing Subdifferential Regularity in Piecewise Smooth Optimization. SIAM J. Optim. 29(2): 1473-1501 (2019) - [c8]Andreas Griewank, Angel Rojas:
Treating Artificial Neural Net Training as a Nonsmooth Global Optimization Problem. LOD 2019: 759-770 - 2018
- [j38]Andreas Griewank, Frances Y. Kuo, Hernan Leövey, Ian H. Sloan:
High dimensional integration of kinks and jumps - Smoothing by preintegration. J. Comput. Appl. Math. 344: 259-274 (2018) - [j37]Bruce Christianson, Shaun A. Forth, Andreas Griewank:
Preface. Optim. Methods Softw. 33(4-6): 671 (2018) - [j36]Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank:
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization. Optim. Methods Softw. 33(4-6): 1073-1088 (2018) - [j35]Andreas Griewank, Richard Hasenfelder, Manuel Radons, Lutz Lehmann, Tom Streubel:
Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation. Optim. Methods Softw. 33(4-6): 1089-1107 (2018) - [j34]Andreas Griewank, Tom Streubel, Lutz Lehmann, Manuel Radons, Richard Hasenfelder:
Piecewise linear secant approximation via algorithmic piecewise differentiation. Optim. Methods Softw. 33(4-6): 1108-1126 (2018) - [i2]Andreas Griewank, Andrea Walther, Koichi Kubota, Siegfried M. Rump:
Piecewise smooth system and optimization with piecewise linearization via algorithmic differentiation (NII Shonan Meeting 2018-9). NII Shonan Meet. Rep. 2018 (2018) - 2016
- [j33]Andreas Griewank, Andrea Walther, Sabrina Fiege, Torsten Bosse:
On Lipschitz optimization based on gray-box piecewise linearization. Math. Program. 158(1-2): 383-415 (2016) - [j32]Andreas Griewank, Andrea Walther:
First- and second-order optimality conditions for piecewise smooth objective functions. Optim. Methods Softw. 31(5): 904-930 (2016) - 2015
- [j31]Coralia Cartis, Andreas Griewank, Philippe L. Toint, Ya-Xiang Yuan:
Obituary for Mike Powell. Optim. Methods Softw. 30(3): 669-671 (2015) - 2014
- [j30]Torsten Bosse, Lutz Lehmann, Andreas Griewank:
Adaptive sequencing of primal, dual, and design steps in simulation based optimization. Comput. Optim. Appl. 57(3): 731-760 (2014) - [j29]Karl Jansen, Hernan Leovey, Andreas Ammon, Andreas Griewank, M. Müller-Preussker:
Quasi-Monte Carlo methods for lattice systems: A first look. Comput. Phys. Commun. 185(3): 948-959 (2014) - [j28]Andreas Griewank, Lutz Lehmann, Hernan Leovey, Marat Zilberman:
Automatic evaluations of cross-derivatives. Math. Comput. 83(285): 251-274 (2014) - [j27]Andreas Griewank, Jonathan Fischer, Torsten Bosse:
Cubic overestimation and secant updating for unconstrained optimization of C2, 1 functions. Optim. Methods Softw. 29(5): 1075-1089 (2014) - 2013
- [j26]Andreas Griewank:
On stable piecewise linearization and generalized algorithmic differentiation. Optim. Methods Softw. 28(6): 1139-1178 (2013) - [c7]Andreas Griewank:
From the Product Example to PDE Adjoints, Algorithmic Differentiation and Its Application (Invited Talk). CASC 2013: 130-135 - [c6]Tom Streubel, Andreas Griewank, Manuel Radons, Jens-Uwe Bernt:
Representation and Analysis of Piecewise Linear Functions in Abs-Normal Form. System Modelling and Optimization 2013: 327-336 - 2012
- [j25]Andreas Griewank, Kshitij Kulshreshtha, Andrea Walther:
On the numerical stability of algorithmic differentiation. Computing 94(2-4): 125-149 (2012) - [j24]Amr Radwan, Olga Vasilieva, Rentsen Enkhbat, Andreas Griewank, J. Guddat:
Parametric approach to optimal control. Optim. Lett. 6(7): 1303-1316 (2012) - [p1]Nicolas R. Gauger, Andreas Griewank, Adel Hamdi, Claudia Kratzenstein, Emre Özkaya, Thomas Slawig:
Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation. Constrained Optimization and Optimal Control for Partial Differential Equations 2012: 99-122 - [e1]Günter Leugering, Sebastian Engell, Andreas Griewank, Michael Hinze, Rolf Rannacher, Volker Schulz, Michael Ulbrich, Stefan Ulbrich:
Constrained Optimization and Optimal Control for Partial Differential Equations. International series of numerical mathematics 160, Birkhäuser / Springer 2012, ISBN 978-3-0348-0132-4 [contents] - 2011
- [j23]Adel Hamdi, Andreas Griewank:
Reduced quasi-Newton method for simultaneous design and optimization. Comput. Optim. Appl. 49(3): 521-548 (2011) - [j22]Felipe Alvarez, Jorge Amaya, Andreas Griewank, Nikolai Strogies:
A continuous framework for open pit mine planning. Math. Methods Oper. Res. 73(1): 29-54 (2011) - [j21]Andreas Griewank:
Obituary for Charles Broyden. Optim. Methods Softw. 26(3): 343-344 (2011) - 2010
- [j20]Sebastian Schlenkrich, Andreas Griewank, Andrea Walther:
On the local convergence of adjoint Broyden methods. Math. Program. 121(2): 221-247 (2010) - [j19]Adel Hamdi, Andreas Griewank:
Properties of an augmented Lagrangian for design optimization. Optim. Methods Softw. 25(4): 645-664 (2010)
2000 – 2009
- 2009
- [r1]Andreas Griewank:
Complexity of Gradients, Jacobians, and Hessians. Encyclopedia of Optimization 2009: 425-435 - [i1]Jan Riehme, Andreas Griewank:
Algorithmic Differentiation Through Automatic Graph Elimination Ordering (ADTAGEO). Combinatorial Scientific Computing 2009 - 2008
- [b2]Andreas Griewank, Andrea Walther:
Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition. SIAM 2008, ISBN 978-0-89871-659-7, pp. I-XXI, 1-438 - [j18]Andreas Griewank, Sebastian Schlenkrich, Andrea Walther:
Optimal r-order of an adjoint Broyden method without the assumption of linearly independent steps. Optim. Methods Softw. 23(2): 215-225 (2008) - 2007
- [j17]Andreas Griewank, Andrea Walther, Maciek Korzec:
Maintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians. Optim. Methods Softw. 22(2): 279-295 (2007) - 2005
- [j16]Andreas Griewank, Daniel Kressner:
Le retard en convergence des dérivées pour les calculs itératifs avec point fixe. ARIMA J. 3: 5 (2005) - [j15]Oleg P. Burdakov, Andreas Griewank, Alexander V. Lotov:
Yury G. Evtushenko - a tribute. Optim. Methods Softw. 20(1): 1-7 (2005) - 2004
- [c5]Andreas Griewank, Andrea Walther:
On the Efficient Generation of Taylor Expansions for DAE Solutions by Automatic Differentiation. PARA 2004: 1089-1098 - 2003
- [j14]Andreas Griewank, Uwe Naumann:
Accumulating Jacobians as chained sparse matrix products. Math. Program. 95(3): 555-571 (2003) - [c4]Andreas Griewank, Olaf Vogel:
Analysis and Exploitation of Jacobian Scarcity. HPSC 2003: 149-164 - 2002
- [j13]Andreas Griewank, Christo Mitev:
Detecting Jacobian sparsity patterns by Bayesian probing. Math. Program. 93(1): 1-25 (2002) - [j12]Andreas Griewank, Christèle Faure:
Reduced Functions, Gradients and Hessians from Fixed-Point Iterations for State Equations. Numer. Algorithms 30(2): 113-139 (2002) - [j11]Andreas Griewank, Andrea Walther:
On constrained optimization by adjoint based quasi-Newton methods. Optim. Methods Softw. 17(5): 869-889 (2002) - 2000
- [b1]Andreas Griewank:
Evaluating derivatives - principles and techniques of algorithmic differentiation. Frontiers in applied mathematics 19, SIAM 2000, ISBN 978-0-89871-451-7, pp. I-XXIV, 1-369 - [j10]Andreas Griewank, Jean Utke, Andrea Walther:
Evaluating higher derivative tensors by forward propagation of univariate Taylor series. Math. Comput. 69(231): 1117-1130 (2000) - [j9]Andreas Griewank, Andrea Walther:
Algorithm 799: revolve: an implementation of checkpointing for the reverse or adjoint mode of computational differentiation. ACM Trans. Math. Softw. 26(1): 19-45 (2000)
1990 – 1999
- 1998
- [j8]Juan M. Restrepo, Gary K. Leaf, Andreas Griewank:
Circumventing Storage Limitations in Variational Data Assimilation Studies. SIAM J. Sci. Comput. 19(5): 1586-1605 (1998) - 1996
- [j7]Andreas Griewank, David W. Juedes, Jean Utke:
Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++. ACM Trans. Math. Softw. 22(2): 131-167 (1996) - [c3]George F. Corliss, Andreas Griewank, Petra Henneberger, Gabriela Kirlinger, Florian A. Potra, Hans J. Stetter:
High-Order Stiff ODE Solvers via Automatic Differentiation and Rational Prediction. WNAA 1996: 114-125 - 1994
- [j6]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, Virginia Torczon, Karen Williamson:
Numerical Optimization At the Center for Research On Parallel Computation. Int. J. High Perform. Comput. Appl. 8(2): 143-153 (1994) - [j5]Brett M. Averick, Jorge J. Moré, Christian H. Bischof, Alan Carle, Andreas Griewank:
Computing Large Sparse Jacobian Matrices Using Automatic Differentiation. SIAM J. Sci. Comput. 15(2): 285-294 (1994) - 1992
- [j4]Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland:
ADIFOR - Generating Derivative Codes form Fortran Programs. Sci. Program. 1(1): 11-29 (1992) - [c2]Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank:
ADIFOR: Automatic Differentiation in a Source Translator Environment. ISSAC 1992: 294-302 - 1991
- [j3]Andreas Griewank:
The global convergence of partitioned BFGS on problems with convex decompositions and Lipschitzian gradients. Math. Program. 50: 141-175 (1991) - [j2]Andreas Griewank, Hubertus Th. Jongen, Man Kam Kwong:
The equivalence of strict convexity and injectivity of the gradient in bounded level sets. Math. Program. 51: 273-278 (1991) - [c1]Christian H. Bischof, Andreas Griewank, David W. Juedes:
Exploiting parallelism in automatic differentiation. ICS 1991: 146-153
1980 – 1989
- 1984
- [j1]Andreas Griewank, Philippe L. Toint:
On the existence of convex decompositions of partially separable functions. Math. Program. 28(1): 25-49 (1984)
Coauthor Index
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