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Andreas Wächter
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Journal Articles
- 2024
- [j33]Edoardo Vecchi
, Juraj Kardos, Malik Lechekhab, Andreas Wächter, Illia Horenko, Olaf Schenk:
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. J. Comput. Sci. 76: 102208 (2024) - 2023
- [j32]Ignacio Aravena, Daniel K. Molzahn, Shixuan Zhang
, Cosmin G. Petra, Frank E. Curtis, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong, Amin Gholami, Kaizhao Sun, Xu Andy Sun, Stephen T. Elbert, Jesse Holzer
, Arun Veeramany:
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. Oper. Res. 71(6): 1997-2014 (2023) - [j31]Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong
:
A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. Oper. Res. 71(6): 2031-2044 (2023) - [j30]Harun Avci
, Barry L. Nelson
, Eunhye Song
, Andreas Wächter
:
Using Cache or Credit for Parallel Ranking and Selection. ACM Trans. Model. Comput. Simul. 33(4): 12:1-12:28 (2023) - 2021
- [j29]Mark Semelhago, Barry L. Nelson
, Eunhye Song
, Andreas Wächter
:
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields. INFORMS J. Comput. 33(3): 915-930 (2021) - 2020
- [j28]Francisco Jara-Moroni
, John E. Mitchell, Jong-Shi Pang, Andreas Wächter:
An enhanced logical benders approach for linear programs with complementarity constraints. J. Glob. Optim. 77(4): 687-714 (2020) - [j27]Alejandra Peña-Ordieres, James R. Luedtke
, Andreas Wächter:
Solving Chance-Constrained Problems via a Smooth Sample-Based Nonlinear Approximation. SIAM J. Optim. 30(3): 2221-2250 (2020) - 2019
- [j26]Nitish Shirish Keskar, Andreas Wächter:
A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization. Optim. Methods Softw. 34(1): 150-171 (2019) - 2018
- [j25]Hanyu Gao
, Andreas Wächter, Ivan A. Konstantinov, Steven G. Arturo, Linda J. Broadbelt:
Application and comparison of derivative-free optimization algorithms to control and optimize free radical polymerization simulated using the kinetic Monte Carlo method. Comput. Chem. Eng. 108: 268-275 (2018) - [j24]Francisco Jara-Moroni
, Jong-Shi Pang, Andreas Wächter
:
A study of the difference-of-convex approach for solving linear programs with complementarity constraints. Math. Program. 169(1): 221-254 (2018) - [j23]Frank E. Curtis
, Andreas Wächter, Victor M. Zavala:
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM J. Optim. 28(1): 930-958 (2018) - [j22]Alvaro Maggiar, Andreas Wächter, Irina S. Dolinskaya, Jeremy Staum:
A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling. SIAM J. Optim. 28(2): 1478-1507 (2018) - 2016
- [j21]Dennis Janka, Christian Kirches
, Sebastian Sager, Andreas Wächter:
An SR1/BFGS SQP algorithm for nonconvex nonlinear programs with block-diagonal Hessian matrix. Math. Program. Comput. 8(4): 435-459 (2016) - [j20]Nitish Shirish Keskar, Jorge Nocedal, Figen Öztoprak, Andreas Wächter:
A second-order method for convex l1-regularized optimization with active-set prediction. Optim. Methods Softw. 31(3): 605-621 (2016) - 2015
- [j19]Travis C. Johnson, Christian Kirches
, Andreas Wächter:
An Active-Set Method for Quadratic Programming Based On Sequential Hot-Starts. SIAM J. Optim. 25(2): 967-994 (2015) - 2014
- [j18]Frank E. Curtis
, Travis C. Johnson, Daniel P. Robinson, Andreas Wächter:
An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization. SIAM J. Optim. 24(3): 1041-1074 (2014) - 2013
- [j17]Pierre Bonami, Jon Lee
, Sven Leyffer
, Andreas Wächter:
On branching rules for convex mixed-integer nonlinear optimization. ACM J. Exp. Algorithmics 18 (2013) - 2012
- [j16]Frank E. Curtis
, Johannes Huber, Olaf Schenk
, Andreas Wächter:
A note on the implementation of an interior-point algorithm for nonlinear optimization with inexact step computations. Math. Program. 136(1): 209-227 (2012) - 2010
- [j15]Frank E. Curtis
, Olaf Schenk
, Andreas Wächter:
An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations. SIAM J. Sci. Comput. 32(6): 3447-3475 (2010) - 2009
- [j14]Pietro Belotti
, Jon Lee
, Leo Liberti
, François Margot, Andreas Wächter:
Branching and bounds tighteningtechniques for non-convex MINLP. Optim. Methods Softw. 24(4-5): 597-634 (2009) - [j13]Jorge Nocedal, Andreas Wächter, Richard A. Waltz:
Adaptive Barrier Update Strategies for Nonlinear Interior Methods. SIAM J. Optim. 19(4): 1674-1693 (2009) - [j12]Frank E. Curtis
, Jorge Nocedal, Andreas Wächter:
A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians. SIAM J. Optim. 20(3): 1224-1249 (2009) - 2008
- [j11]Pierre Bonami, Lorenz T. Biegler
, Andrew R. Conn, Gérard Cornuéjols, Ignacio E. Grossmann, Carl D. Laird, Jon Lee
, Andrea Lodi, François Margot, Nicolas W. Sawaya, Andreas Wächter:
An algorithmic framework for convex mixed integer nonlinear programs. Discret. Optim. 5(2): 186-204 (2008) - [j10]Olaf Schenk
, Andreas Wächter, Martin Weiser
:
Inertia-Revealing Preconditioning For Large-Scale Nonconvex Constrained Optimization. SIAM J. Sci. Comput. 31(2): 939-960 (2008) - 2007
- [j9]Olaf Schenk
, Andreas Wächter, Michael Hagemann:
Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization. Comput. Optim. Appl. 36(2-3): 321-341 (2007) - 2006
- [j8]Andreas Wächter, Lorenz T. Biegler
:
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106(1): 25-57 (2006) - 2005
- [j7]Andreas Wächter, Chandramouli Visweswariah, Andrew R. Conn:
Large-scale nonlinear optimization in circuit tuning. Future Gener. Comput. Syst. 21(8): 1251-1262 (2005) - [j6]Andreas Wächter, Lorenz T. Biegler
:
Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence. SIAM J. Optim. 16(1): 1-31 (2005) - [j5]Andreas Wächter, Lorenz T. Biegler
:
Line Search Filter Methods for Nonlinear Programming: Local Convergence. SIAM J. Optim. 16(1): 32-48 (2005) - 2003
- [j4]Tobias Jockenhövel, Lorenz T. Biegler
, Andreas Wächter:
Dynamic optimization of the Tennessee Eastman process using the OptControlCentre. Comput. Chem. Eng. 27(11): 1513-1531 (2003) - [j3]André L. Tits, Andreas Wächter, Sasan Bakhtiari
, Thomas J. Urban, Craig T. Lawrence:
A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties. SIAM J. Optim. 14(1): 173-199 (2003) - 2002
- [j2]Roger Fletcher, Nicholas I. M. Gould
, Sven Leyffer
, Philippe L. Toint
, Andreas Wächter:
Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming. SIAM J. Optim. 13(3): 635-659 (2002) - 2000
- [j1]Andreas Wächter, Lorenz T. Biegler
:
Failure of global convergence for a class of interior point methods for nonlinear programming. Math. Program. 88(3): 565-574 (2000)
Conference and Workshop Papers
- 2022
- [c7]Mark Semelhago, Barry L. Nelson, Eunhye Song
, Andreas Wächter:
Object-Oriented Implementation and Parallelization of the Rapid Gaussian Markov Improvement Algorithm. WSC 2022: 3158-3169 - 2021
- [c6]Deborah Walz, Andreas Wächter, Stefan Tomov, Konrad Heimbach, Matthias Weigold:
Energieeffizientes Kaltstartverhalten spanender Werkzeugmaschinen. GI-Jahrestagung 2021: 1193-1199 - 2018
- [c5]Mingbin Ben Feng, Alvaro Maggiar, Jeremy Staum, Andreas Wächter:
Uniform convergence of sample Average Approximation with adaptive Multiple Importance Sampling. WSC 2018: 1646-1657 - 2017
- [c4]Mark Semelhago, Barry L. Nelson, Andreas Wächter, Eunhye Song
:
Computational methods for optimization via simulation using Gaussian Markov Random Fields. WSC 2017: 2080-2091 - 2011
- [c3]Giacomo Nannicini, Pietro Belotti
, Jon Lee, Jeff T. Linderoth, François Margot, Andreas Wächter:
A Probing Algorithm for MINLP with Failure Prediction by SVM. CPAIOR 2011: 154-169 - 2009
- [c2]Claudia D'Ambrosio
, Jon Lee
, Andreas Wächter:
A Global-Optimization Algorithm for Mixed-Integer Nonlinear Programs Having Separable Non-convexity. ESA 2009: 107-118 - 2000
- [c1]R. A. Bartlett, Andreas Wächter, Lorenz T. Biegler
:
Active set vs. interior point strategies for model predictive control. ACC 2000: 4229-4233
Informal and Other Publications
- 2022
- [i3]Juan Ospina, David M. Fobes, Russell Bent, Andreas Wächter:
Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl. CoRR abs/2210.16378 (2022) - 2020
- [i2]Shenyinying Tu, Andreas Wächter, Ermin Wei:
A Two-Stage Decomposition Approach for AC Optimal Power Flow. CoRR abs/2002.08003 (2020) - 2009
- [i1]Andreas Wächter:
Short Tutorial: Getting Started With Ipopt in 90 Minutes. Combinatorial Scientific Computing 2009
Coauthor Index
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