Andreas Potschka
Andreas Potschka
Professor for Continuous Optimization, Clausthal University of Technology
Verified email at - Homepage
Cited by
Cited by
qpOASES: A parametric active-set algorithm for quadratic programming
HJ Ferreau, C Kirches, A Potschka, HG Bock, M Diehl
Mathematical Programming Computation 6, 327-363, 2014
qpOASES user’s manual
HJ Ferreau, E Arnold, H Diedam, HJ Ferreau, B Houska, C Kirches, ...
Optimization in engineering center (OPTEC) and department of electrical …, 2011
Numerical solution of optimal control problems with explicit and implicit switches
HG Bock, C Kirches, A Meyer, A Potschka
Optimization Methods and Software 33 (3), 450-474, 2018
Partial outer convexification for traffic light optimization in road networks
S Göttlich, A Potschka, U Ziegler
SIAM Journal on Scientific Computing 39 (1), B53-B75, 2017
A minima tracking variant of semi-infinite programming for the treatment of path constraints within direct solution of optimal control problems
A Potschka, HG Bock, JP Schlöder
Optimization Methods & Software 24 (2), 237-252, 2009
qpOASES webpage
HJ Ferreau, A Potschka, C Kirches
2007–2015, 2018
Partial stability for nonlinear model predictive control
HC La, A Potschka, HG Bock
Automatica 78, 14-19, 2017
Dual decomposition for QPs in scenario tree NMPC
C Leidereiter, A Potschka, HG Bock
2015 European Control Conference (ECC), 1608-1613, 2015
A parametric active set method for quadratic programs with vanishing constraints
C Kirches, A Potschka, HG Bock, S Sager
Technical Report, 2012
XAI for Operations in the Process Industry-Applications, Theses, and Research Directions.
A Kotriwala, B Klöpper, M Dix, G Gopalakrishnan, D Ziobro, A Potschka
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering …, 2021
trlib: a vector-free implementation of the GLTR method for iterative solution of the trust region problem
F Lenders, C Kirches, A Potschka
Optimization Methods and Software 33 (3), 420-449, 2018
Reliable solution of convex quadratic programs with parametric active set methods
A Potschka, C Kirches, HG Bock, JP Schlöder
Interdisciplinary Center for Scientific Computing, Heidelberg University, Im …, 2010
Muscod-ii users manual
P Kühl, J Ferreau, J Albersmeyer, C Kirches, L Wirsching, S Sager, ...
University of Heidelberg, 2007
Handling path constraints in a direct multiple shooting method for optimal control problems
A Potschka
Diplomarbeit, 2006
A partial outer convexification approach to control transmission lines
S Göttlich, A Potschka, C Teuber
Computational Optimization and Applications 72 (2), 431-456, 2019
Quadrature-based scenario tree generation for nonlinear model predictive control
C Leidereiter, A Potschka, HG Bock
IFAC Proceedings Volumes 47 (3), 11087-11092, 2014
Derivative-extended POD reduced-order modeling for parameter estimation
A Schmidt, A Potschka, S Korkel, HG Bock
SIAM Journal on Scientific Computing 35 (6), A2696-A2717, 2013
Penalty alternating direction methods for mixed-integer optimal control with combinatorial constraints
S Göttlich, FM Hante, A Potschka, L Schewe
Mathematical Programming 188 (2), 599-619, 2021
Backward step control for global Newton-type methods
A Potschka
SIAM Journal on Numerical Analysis 54 (1), 361-387, 2016
Newton–Picard-based preconditioning for linear-quadratic optimization problems with time-periodic parabolic PDE constraints
A Potschka, MS Mommer, JP Schlöder, HG Bock
SIAM Journal on Scientific Computing 34 (2), A1214-A1239, 2012
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