No coin nor oath required. For personal study only.
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.
Content:
Chapter 1 Multiparametric Linear and Quadratic Programming (pages 1โ23): Nuno P. Faisca, Dr. Vivek Dua and Prof. Efstratios N. Pistikopoulos
Chapter 2 Multiparametric Nonlinear Programming (pages 25โ51): Diogo A. C. Narciso, Nuno P. Faisca and Dr. Vivek Dua
Chapter 3 Multiparametric Mixed?Integer Linear Programming (pages 53โ71): Dr. Pinky Dua and Dr. Michael C. Georgiadis
Chapter 4 Multiparametric Mixed?Integer Quadratic and Nonlinear Programming (pages 73โ97): Diogo A. C. Narciso, Dr. Vivek Dua and Prof. Efstratios N. Pistikopoulos
Chapter 5 Parametric Global Optimization (pages 99โ127): Nuno P. Faisca and Prof. Efstratios N. Pistikopoulos
Chapter 6 Bilevel and Multilevel Programming (pages 129โ149): Nuno P. Faisca, Prof. Berc Rustem and Dr. Vivek Dua
Chapter 7 Dynamic Programming (pages 151โ172): Nuno P. Faisca, Dr. Konstatinos I. Kouramas, Prof. Berc Rustem and Prof. Efstratios N. Pistikopoulos
Chapter 8 Flexibility Analysis via Parametric Programming (pages 173โ228): Dr. Pinky Dua, Dr. Michael C. Georgiadis and Prof. Efstratios N. Pistikopoulos
Chapter 9 Planning and Material Design Under Uncertainty (pages 229โ253): Nuno P. Faisca and Dr. Michael C. Georgiadis
Chapter 10 Multiobjective Energy and Environmental Analysis (pages 255โ305): Dr. Michael C. Georgiadis and Prof. Efstratios N. Pistikopoulos
๐ SIMILAR VOLUMES
Content: <br>Chapter 1 Linear Model Predictive Control via Multiparametric Programming (pages 1โ23): Dr. Vassilis Sakizlis, Dr. Konstantinos I. Kouramas and Prof. Efstratios N. Pistikopoulos<br>Chapter 2 Hybrid Parametric Model?Based Control (pages 25โ48): Dr. Konstantinos Kouramas and Dr. Vivek Dua
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Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control theory
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