@inproceedings{43b7b1255dbd44a48036220c1fbc0898,
title = "SEQUENTIAL QUADRATIC PROGRAMMING METHODS FOR NONLINEAR PROGRAMMING.",
abstract = "Sequential quadratic programming (SQP) methods are among the most effective techniques known today for solving nonlinearly constrained optimization problems. This paper presents an overview of SQP methods based on a quasi-Newton approximation to the Hessian of the Lagrangian function (or an augmented Lagrangian function). We briefly describe some of the issues in the formulation of SQP methods, including the form of the subproblem and the choice of merit function. We conclude with a list of available SQP software.",
author = "Gill, {Philip E.} and Walter Murray and Saunders, {Michael A.} and Wright, {Margaret H.}",
year = "1984",
doi = "10.1007/978-3-642-52465-3_23",
language = "English (US)",
isbn = "3540128875",
series = "NATO ASI Series, Series F: Computer and Systems Sciences",
publisher = "Springer Verlag",
pages = "679--700",
booktitle = "NATO ASI Series, Series F",
}