Andreas Waechter
Andreas Waechter
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Cited by
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
A Wächter, LT Biegler
Mathematical programming 106, 25-57, 2006
An algorithmic framework for convex mixed integer nonlinear programs
P Bonami, LT Biegler, AR Conn, G Cornuéjols, IE Grossmann, CD Laird, ...
Discrete optimization 5 (2), 186-204, 2008
Branching and bounds tighteningtechniques for non-convex MINLP
P Belotti, J Lee, L Liberti, F Margot, A Wächter
Optimization Methods & Software 24 (4-5), 597-634, 2009
Line search filter methods for nonlinear programming: Motivation and global convergence
A Wächter, LT Biegler
SIAM Journal on Optimization 16 (1), 1-31, 2005
Advances in simultaneous strategies for dynamic process optimization
LT Biegler, AM Cervantes, A Wächter
Chemical engineering science 57 (4), 575-593, 2002
An interior point algorithm for large-scale nonlinear optimization with applications in process engineering.
A Wächter
Carnegie Mellon University, 2002
Global convergence of a trust-region SQP-filter algorithm for general nonlinear programming
R Fletcher, NIM Gould, S Leyffer, PL Toint, A Wächter
SIAM Journal on Optimization 13 (3), 635-659, 2002
Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization
O Schenk, A Wächter, M Hagemann
Computational Optimization and Applications 36, 321-341, 2007
Adaptive barrier update strategies for nonlinear interior methods
J Nocedal, A Wächter, RA Waltz
SIAM Journal on Optimization 19 (4), 1674-1693, 2009
Active set vs. interior point strategies for model predictive control
RA Bartlett, A Wächter, LT Biegler
American Control Conference, 2000. Proceedings of the 2000 6, 4229-4233, 2000
A reduced space interior point strategy for optimization of differential algebraic systems
AM Cervantes, A Wächter, RH Tütüncü, LT Biegler
Computers & Chemical Engineering 24 (1), 39-51, 2000
Short tutorial: Getting started with ipopt in 90 minutes
A Wächter
Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2009
Failure of global convergence for a class of interior point methods for nonlinear programming
A Wächter, LT Biegler
Mathematical Programming 88, 565-574, 2000
A primal-dual interior-point method for nonlinear programming with strong global and local convergence properties
AL Tits, A Wächter, S Bakhtiari, TJ Urban, CT Lawrence
SIAM Journal on Optimization 14 (1), 173-199, 2003
Dynamic optimization of the Tennessee Eastman process using the OptControlCentre
T Jockenhövel, LT Biegler, A Wächter
Computers & Chemical Engineering 27 (11), 1513-1531, 2003
Complementarity formulations of l0-norm optimization problems
M Feng, JE Mitchell, JS Pang, X Shen, A Wächter
Industrial Engineering and Management Sciences. Technical Report …, 2013
An interior-point algorithm for large-scale nonlinear optimization with inexact step computations
FE Curtis, O Schenk, A Wächter
SIAM Journal on Scientific Computing 32 (6), 3447-3475, 2010
On branching rules for convex mixed-integer nonlinear optimization
P Bonami, J Lee, S Leyffer, A Wächter
Journal of Experimental Algorithmics (JEA) 18, 2.1-2.31, 2013
Inertia-revealing preconditioning for large-scale nonconvex constrained optimization
O Schenk, A Wächter, M Weiser
SIAM Journal on Scientific Computing 31 (2), 939-960, 2009
Introduction to IPOPT: A tutorial for downloading, installing, and using IPOPT
A Waechter, C Laird, F Margot, Y Kawajir
Revision, 2009
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