Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …

Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has
arguably become the most successful method for solving nonlinearly constrained …

Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of
optimization, and describes numerical algorithms in a tutorial way. It covers fundamental …

Optimization Theory and Methods can be used as a textbook for an optimization course for
graduates and senior undergraduates. It is the result of the author's teaching and research …

Line search methods are proposed for nonlinear programming using Fletcher and Leyffer's
filter method [Math. Program., 91 (2002), pp. 239--269], which replaces the traditional merit …

Optimal design and operation of complex chemical processes often require the solution of
intricate dynamic optimization problems. A tailored simultaneous solution strategy based on …

Nonlinear programming (NLP) has become an essential tool in process engineering,
leading to profit gains through improved plant designs and better control strategies. The …

Dieses Buch ist aus verschiedenen Vorlesungen der Autoren an den Universitäten
Hamburg und Trier entstanden. Es bietet eine umfassende und aktuelle Darstellung des …

Large-scale optimization of systems governed by partial differential equations (PDEs) is a
frontier problem in scientific computation. Reduced quasi-Newton sequential quadratic …

In this paper we describe a new version of a sequential equality constrained quadratic
programming method for general nonlinear programs with mixed equality and inequality …