One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

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 …

The design and implementation of a new algorithm for solving large nonlinear programming
problems is described. It follows a barrier approach that employs sequential quadratic …

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 …

Abstract In his 1963 PhD thesis, Wilson proposed the first sequential quadratic programming
(SQP) method for the solution of constrained nonlinear optimization problems. In the …

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 …

We consider the problem of minimizing a smooth function of n variables subject to m smooth
equality constraints. We begin by describing various approaches to Newton's method for this …

We consider the general nonlinear optimization problem defined as, minimize a nonlinear
real-valued function of several variables, subject to a set of nonlinear equality and inequality …

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