Andreas Griewank

Humboldt-Universität zu Berlin — Germany

Mathematics · Physical Sciences

40h-index11.0kcitations210works1.02yr avg
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Research Topics

Advanced Optimization Algorithms Research(77), Matrix Theory and Algorithms(52), Iterative Methods for Nonlinear Equations(32), Numerical methods for differential equations(29), Numerical Methods and Algorithms(25)

Publications210 total

Constrained piecewise linear optimization by an active signature method
2025· 2 citedOpen Access
A semismooth conjugate gradients method – theoretical analysis
Optimization methods & software·2024
Complexity of Gradients, Jacobians, and Hessians
Encyclopedia of Optimization·2024· 1 cited
Direct calculation of Newton steps without accumulating Jacobians
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023· 8 citedOpen Access
Piecewise Polynomial Taylor Expansions—The Generalization of Faà di Bruno’s Formula
2020· 2 cited
Apprentissage Abs-Linéaire Généralisé par Optimisation QuadratiqueBinaire Mixte
HAL (Le Centre pour la Communication Scientifique Directe)·2020· 1 citedOpen Access
On the abs-polynomial expansion of piecewise smooth functions
Optimization methods & software·2020· 4 cited
Polyhedral DC Decomposition and DCA Optimization of Piecewise Linear Functions
Algorithms·2020· 4 citedOpen Access
On the Gauss-Broyden Method for Nonlinear Least Squares
2020
Nonsmooth optimization by successive abs-linearization in function spaces
Applicable Analysis·2020· 4 cited
Beyond the Oracle: Opportunities of Piecewise Differentiation
2020· 7 cited
Generalized Abs-Linear Learning
2019
Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization
SIAM Journal on Optimization·2019· 17 cited
Treating Artificial Neural Net Training as a Nonsmooth Global Optimization Problem
Lecture notes in computer science·2019· 4 cited
Characterizing and Testing Subdifferential Regularity in Piecewise Smooth Optimization
SIAM Journal on Optimization·2019· 11 cited
Finite convergence of an active signature method to local minima of piecewise linear functions
Optimization methods & software·2018· 9 cited
An Open Newton Method for Piecewise Smooth Systems
2018
Preface
Optimization methods & software·2018· 3 citedOpen Access
An Open Newton Method for Piecewise Smooth Functions
arXiv (Cornell University)·2018Open Access
High dimensional integration of kinks and jumps—Smoothing by preintegration
Journal of Computational and Applied Mathematics·2018· 3 citedOpen Access
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Frequent Co-authors

Andrea Walther(7), George F. Corliss(7), Christian Bischof(6), Philippe L. Toint(5), Alan Carle(3), Christèle Faure(3), G. W. Reddien(3), Jean Utke(2), Nagi Nagarajan(2), A. S. Cullick(2), M. R. Osborne(2), Olaf Vogel(2), David Juedes(1), Paul Hovland(1), H. J. S.(1), Laurent Hascoët(1), Lauren Hascoët(1), Uwe Naumann(1), J. D. F. Cosgrove(1), Juan Carlos Dı́az(1)