Multi-Parametric Programming: Theory, Algorithms and Applications (Process Systems Engineering) - Hardcover

 
9783527316915: Multi-Parametric Programming: Theory, Algorithms and Applications (Process Systems Engineering)
Hardcover
ISBN 10: 3527316914 ISBN 13: 9783527316915
Publisher: Wiley-VCH, 2007

Synopsis

This first book to cover all aspects of multi-parametric programming and its applications in process systems engineering includes theoretical developments and algorithms in multi-parametric programming with applications from the manufacturing sector and energy and environment analysis. The volume thus reflects the importance of fundamental research in multi-parametric programming applications, developing mechanisms for the transfer of the new technology to industrial problems. Since the topic applies to a wide range of process systems, as well as due to the interdisciplinary expertise required to solve the challenge, this reference will find a broad readership.
Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London.

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About the Author

Efstratios N. Pistikopoulos is a Professor of Chemical Engineering at Imperial College London and Director of its Centre for Process Systems Engineering (PSE). He graduated in Chemical Engineering from Aristotle University of Thessaloniki, Greece and gained a PhD from Carnegie Mellon University, USA. He has authored/ co-authored over 200 publications, holds editorial positions on several editorial boards and has been involved in over 50 major research projects and contracts. Prof. Pistikopoulos is co-founder and Director of two successful spin-off companies stemming from his research at Imperial, Process Systems Enterprise (PSE) Limited and Parametric Optimization Solutions (PAROS) Limited and consults widely to numerous process industry companies.
Michael C. Georgiadis is Head of the Process System Engineering Laboratory at the CPSE, Imperial College London and is the manager for academic business development of Process Systems Enterprise Ltd in Thessaloniki, Greece. He obtained his Chemical Engineering degree from Aristotle University of Thessaloniki, Greece and a MSc and PhD from Imperial College London. Dr. Georgiadis has authored/ co-authored over 55 papers and two books. He has a long experience in the management and participation of more than 20 collaborative research contracts and projects.
Vivek Dua is a Lecturer in the Department of Chemical Engineering at University College London. He holds a degree in Chemical Engineering from Panjab University, Chandigarh, India and MTech in chemical engineering from the Indian Institute of Technology, Kanpur. He joined Kinetics Technology India Ltd. as a Process Engineer before moving to Imperial College London, where he obtained his PhD in Chemical Engineering. He was an Assistant Professor in the Department of Chemical Engineering at Indian Institute of Technology, Delhi before joining University College London. He is a co-founder of Parametric Optimization Solutions (PAROS) Ltd.

Process Systems Enterprise (PSE), provider of the gPROMS advanced process simulation and modelling environment, is the 2007 winner of the Royal Academy of Engineering's MacRobert Award. The award, the UK's most prestigious for engineering, recognises the successful development of innovative ideas. The PSE team was presented with the MacRobert gold medal by HRH Prince Philip.

From the Back Cover

This volume presents an in depth account of recent novel theoretical and algorithmic developments for different types of multi-parametric programming problems, as well as describes a number of versatile engineering applications in areas, such as design and optimization under uncertainty, energy and environmental analysis, multi-criteria optimization and model based control (which is the subject of volume 2 of this series).
Multi-parametric programming provides optimization based tools to systematically analyse the effect of uncertainty and variability in mathematical programming problems, which involved a linear, nonlinear or mixed continuous and integer mathematical model, an objective function, a set of contraints, and in which a number of parameters in the model vary between lower and upper bounds. The aimis to obtain explicit analytical, exact or approximate, expressions of the objective function and the optimization variables as a function of these parameters, and the regions in the space of the parameters where these expressions are valid.
The book is intended for academics, researchers, optimization and control practitioners, who are involved in model based activities in the presence of uncertainty, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry.

The Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management of complexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required.

From the Inside Flap

This volume presents an in depth account of recent novel theoretical and algorithmic developments for different types of multi-parametric programming problems, as well as describes a number of versatile engineering applications in areas, such as design and optimization under uncertainty, energy and environmental analysis, multi-criteria optimization and model based control (which is the subject of volume 2 of this series).
Multi-parametric programming provides optimization based tools to systematically analyse the effect of uncertainty and variability in mathematical programming problems, which involved a linear, nonlinear or mixed continuous and integer mathematical model, an objective function, a set of contraints, and in which a number of parameters in the model vary between lower and upper bounds. The aimis to obtain explicit analytical, exact or approximate, expressions of the objective function and the optimization variables as a function of these parameters, and the regions in the space of the parameters where these expressions are valid.
The book is intended for academics, researchers, optimization and control practitioners, who are involved in model based activities in the presence of uncertainty, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry.

The Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management of complexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required.

"About this title" may belong to another edition of this title.

Publisher
Wiley-VCH
Publication date
2007
Language
English
ISBN 10 
3527316914
ISBN 13 
9783527316915
Binding
Hardcover
Edition number
1
Number of pages
324
Editor
Pistikopoulos Efstratios N., Georgiadis Michael C., Dua Vivek