Buch, Englisch, 510 Seiten, Format (B × H): 191 mm x 235 mm
Buch, Englisch, 510 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-444-64050-5
Verlag: Elsevier Science
Computational Optimization of Chemical Processes and Energy Systems targets graduate seniors and master's level students in chemical engineering and relevant majors. This book introduces modern computational optimization (or mathematical programming) theory and algorithms, optimization modeling techniques, and various optimization applications in chemical engineering and energy systems. A unique feature of this book is that it has a good balance between theory, computation and applications.
Zielgruppe
<p>It will be a great textbook for undergraduate junior and seniors, master students and first year PhD students in chemical engineering or relevant majors that would like to learn computational optimization theory and algorithms, as well as interesting applications on chemical engineering and energy systems.</p> <p>Researchers and industrial practitioners could use this book as a reference. </p>
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction and optimization basics 2. Linear programming (LP) 3. Mixed-integer linear programming (MILP) 4. Nonlinear programming (NLP) and dynamic optimization (DO) 5. Mixed-integer nonlinear programming (MINLP) and deterministic global optimization 6. Stochastic programming 7. Robust optimization 8. Optimization and big data analytics 9. Computation