Our quality of life, the world's productivity and its sustainability become more and more
determined by the outcome and benefits of process automation. In this domain of automatic …

This paper presents and analyzes an inexact Newton-type optimization method based on
iterated sensitivities (INIS). A particular class of nonlinear programming (NLP) problems is …

We propose a sequential quadratic optimization method for solving nonlinear optimization
problems with equality and inequality constraints. The novel feature of the algorithm is that …

In this paper we present a model approximation technique based on N-step-ahead affine
representations obtained via Monte-Carlo integrations. The approach enables simultaneous …

A class of trust-region algorithms is developed and analyzed for the solution of optimization
problems with nonlinear equality and inequality constraints. These algorithms are …

Multidisciplinary design optimization (MDO) is an approach to engineering design that
exploits the coupling between components or knowledge disciplines in a complex system to …

Abstract Periodic Adsorption Processes (PAPs) have gained increasing commercial
importance as an energy-efficient separation technique over the past two decades. Based …

This thesis presents novel active-set methods for optimizing quadratic programs (QPs) and
nonlinear programs (NLPs). The presented quadratic optimization algorithm solves a …