[1]

L.T. Biegler. Nonlinear Programming: Concepts, Algorithms and Applications to Chemical Processes. SIAM, Philadelphia, 2010.

[2]

N.-Y. Chiang and V.M. Zavala. An inertia-free filter line-search algorithm for large-scale nonlinear programming. Computational Optimization and Applications, 64(2):327–354, 2016.

[3]

F.E. Curtis, J. Huber, O. Schenk, and A. Wächter. A note on the implementation of an interior-point algorithm for nonlinear optimization with inexact step computations. Mathematical Programming, 136(1):209–227, 2012. preprint at http://www.optimization-online.org/DB_HTML/2011/04/2992.html.

[4]

A.V. Fiacco, editor. Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, volume 165 of Mathematics in Science and Engineering. 1983.

[5]

R. Fourer, D.M. Gay, and B.W. Kernighan. AMPL: A Modeling Language For Mathematical Programming. Thomson Publishing Company, Danvers, MA, USA, 1993.

[6]

W. Hock and K. Schittkowski. Test examples for nonlinear programming codes. Lecture Notes in Economics and Mathematical Systems, 187, 1981.

[7]

J. Nocedal, A. Wächter, and R.A. Waltz. Adaptive barrier strategies for nonlinear interior methods. SIAM Journal on Optimization, 19(4):1674–1693, 2008. preprint at http://www.optimization-online.org/DB_HTML/2005/03/1089.html.

[8]

H. Pirnay, R. López-Negrete, and L.T. Biegler. Optimal sensitivity based on Ipopt. Mathematical Programming Computations, 4(4):307–331, 2012. preprint at http://www.optimization-online.org/DB_HTML/2011/04/3008.html.

[9]

B. Tasseff, C. Coffrin, A. Wächter, and C. Laird. Exploring benefits of linear solver parallelism on modern nonlinear optimization applications. arXiv 1909.08104, 2019.

[10]

A. Wächter and L.T. Biegler. Line search filter methods for nonlinear programming: Local convergence. SIAM Journal on Optimization, 16(1):32–48, 2005.

[11]

A. Wächter and L.T. Biegler. Line search filter methods for nonlinear programming: Motivation and global convergence. SIAM Journal on Optimization, 16(1):1–31, 2005.

[12]

A. Wächter and L.T. Biegler. On the implementation of a primal-dual interior point filter line search algorithm for large-scale nonlinear programming. Mathematical Programming, 106(1):25–57, 2006. preprint at http://www.optimization-online.org/DB_HTML/2004/03/836.html.

[13]

A. Wächter. An Interior Point Algorithm for Large-Scale Nonlinear Optimization with Applications in Process Engineering. PhD thesis, Carnegie Mellon University, Pittsburgh, PA, USA, January 2002.

[14]

A. Wächter. Short tutorial: Getting started with Ipopt in 90 minutes. In H. D. Simon U. Naumann, O. Schenk, editor, Combinatorial Scientific Computing. 2009.