Andreas Wächter

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 18

Top Topics

Nonlinear Optimization

Top Venues

Optim. Methods Softw.

Publications

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 (2024)
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) (2023)
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) (2023)
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) (2023)
Juan Ospina, David M. Fobes, Russell Bent, Andreas Wächter
Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl. CoRR (2022)
Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter
Object-Oriented Implementation and Parallelization of the Rapid Gaussian Markov Improvement Algorithm. WSC (2022)
Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields. INFORMS J. Comput. 33 (3) (2021)
Deborah Walz, Andreas Wächter, Stefan Tomov, Konrad Heimbach, Matthias Weigold
Energieeffizientes Kaltstartverhalten spanender Werkzeugmaschinen. GI-Jahrestagung (2021)
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) (2020)
Alejandra Peña-Ordieres, James R. Luedtke, Andreas Wächter
Solving Chance-Constrained Problems via a Smooth Sample-Based Nonlinear Approximation. SIAM J. Optim. 30 (3) (2020)
Nitish Shirish Keskar, Andreas Wächter
A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization. Optim. Methods Softw. 34 (1) (2019)
Frank E. Curtis, Andreas Wächter, Victor M. Zavala
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM J. Optim. 28 (1) (2018)
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) (2018)
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) (2018)
M. Ben Feng, Alvaro Maggiar, Jeremy Staum, Andreas Wächter
Uniform convergence of sample Average Approximation with adaptive Multiple Importance Sampling. WSC (2018)
Mark Semelhago, Barry L. Nelson, Andreas Wächter, Eunhye Song
Computational methods for optimization via simulation using Gaussian Markov Random Fields. WSC (2017)
Nitish Shirish Keskar, Jorge Nocedal, Figen Öztoprak, Andreas Wächter
-regularized optimization with active-set prediction. Optim. Methods Softw. 31 (3) (2016)
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) (2016)
Travis C. Johnson, Christian Kirches, Andreas Wächter
An Active-Set Method for Quadratic Programming Based On Sequential Hot-Starts. SIAM J. Optim. 25 (2) (2015)
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) (2014)
Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Wächter
On branching rules for convex mixed-integer nonlinear optimization. ACM J. Exp. Algorithmics 18 (2013)
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) (2012)
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)
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) (2010)
Pietro Belotti, Jon Lee, Leo Liberti, François Margot, Andreas Wächter
Branching and bounds tighteningtechniques for non-convex MINLP. Optim. Methods Softw. 24 (4-5) (2009)
Claudia D'Ambrosio, Jon Lee, Andreas Wächter
A Global-Optimization Algorithm for Mixed-Integer Nonlinear Programs Having Separable Non-convexity. ESA (2009)
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) (2009)
Andreas Wächter
Short Tutorial: Getting Started With Ipopt in 90 Minutes. Combinatorial Scientific Computing (2009)
Jorge Nocedal, Andreas Wächter, Richard A. Waltz
Adaptive Barrier Update Strategies for Nonlinear Interior Methods. SIAM J. Optim. 19 (4) (2009)
Olaf Schenk, Andreas Wächter, Martin Weiser
Inertia-Revealing Preconditioning For Large-Scale Nonconvex Constrained Optimization. SIAM J. Sci. Comput. 31 (2) (2008)
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) (2008)
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) (2007)
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) (2006)
Andreas Wächter, Lorenz T. Biegler
Line Search Filter Methods for Nonlinear Programming: Local Convergence. SIAM J. Optim. 16 (1) (2005)
Andreas Wächter, Chandramouli Visweswariah, Andrew R. Conn
Large-scale nonlinear optimization in circuit tuning. Future Gener. Comput. Syst. 21 (8) (2005)
Andreas Wächter, Lorenz T. Biegler
Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence. SIAM J. Optim. 16 (1) (2005)
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) (2003)
Tobias Jockenhövel, Lorenz T. Biegler, Andreas Wächter
Dynamic optimization of the Tennessee Eastman process using the OptControlCentre. Comput. Chem. Eng. 27 (11) (2003)
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) (2002)
R. A. Bartlett, Andreas Wächter, Lorenz T. Biegler
Active set vs. interior point strategies for model predictive control. ACC (2000)
Andreas Wächter, Lorenz T. Biegler
Failure of global convergence for a class of interior point methods for nonlinear programming. Math. Program. 88 (3) (2000)