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

Large scale optimization strategies have evolved considerably over the past two decades.
Currently, continuous variable optimization problems (nonlinear programs) are solved on …

COMPREHENSIVE COVERAGE OF NONLINEAR PROGRAMMING THEORY AND
ALGORITHMS, THOROUGHLY REVISED AND EXPANDED Nonlinear Programming …

With the development of sophisticated methods for nonlinear programming and powerful
computer hardware, it now becomes useful and efficient to formulate and solve nonlinear …

Process optimization involves the minimization (or maximization) of an objective function,
that can be established from a technical and/or economic viewpoint. In general, the decision …

Efficient nonlinear programming (NLP) algorithms and modeling platforms have led to
powerful process optimization strategies. Nevertheless, these algorithms are challenged by …

This book is aimed at upper-level undergraduate students of mathematics and statistics, and
graduate students of industrial engineering. We assume that the readers are familiar with …

Following on the popularity of dynamic simulation for process systems, dynamic optimization
has been identified as an important task for key process applications. In this study, we …

From the start of a synthetic chemist's training, experiments are conducted based on recipes
from textbooks and manuscripts that achieve clean reaction outcomes, allowing the scientist …

This book, like its companion volume Nonlinear Optimization with Financial Applications, is
an outgrowth of undergraduate and po-graduate courses given at the University of …