Differential-algebraic equations (DAEs) are the most natural way to
mathematically model many complex systems in science and
engineering. This book provides a guide to the theory and practice
of modelling with DAEs. In particular, the reader will learn to
maximise the performance of their models by optimising the design
parameters. Presented within are cutting-edge theory and
state-of-the-art numerical methods for the optimal control of
differential-algebraic equations, alongside real-world applications
of the results. This accessible treatment of the subject, written
by leading experts, is suitable for applied mathematicians,
engineers and computational scientists from a variety of
disciplines. It will be of interest to those developing theory and
those working on real-world applications, especially in the optimal
control of problems in chemical and mechanical engineering.
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