Multi-parametric optimization and control/

"Multi-parametric programming is a type of mathematical optimization where the optimization problem is solved as a function of multiple parameters. Developed in parallel to sensitivity analysis, the idea of solving optimization problems for a range and as a function of certain bounded parameter...

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Bibliographic Details
Main Authors: Pistikopoulos, Efstratios N.
Corporate Authors: Wiley Online Library (Online service)
Published: Wiley,
Publisher Address: Hoboken, NJ :
Publication Dates: [2021].
Literature type: eBook
Language: English
Edition: First edition.
Series: Wiley series in operations research and management science
Subjects:
Online Access: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119265245
Summary: "Multi-parametric programming is a type of mathematical optimization where the optimization problem is solved as a function of multiple parameters. Developed in parallel to sensitivity analysis, the idea of solving optimization problems for a range and as a function of certain bounded parameters has gained considerable interest. Within the past 10 years, there have been developments in multiple parameters, integer variables, and nonlinearities. In particular, the connection between parametric programming and model predictive control has contributed to an increased interest in the topic. The diversity of its application, from explicit control over bi-level programming to integration of design, scheduling, and control, stems from theoretical and algorithmic advances in multi-parametric programming. State-of-the-art software tools with novel solution approaches have been implemented for many types of multi-parametric programming problems, including multi-parametric mixed-integer programming, multi-parametric nonlinear programming, and multi-parametric bi- and multi-level programming"--
Item Description: Description based on print version record.
Carrier Form: 1 online resource (320 pages).
Also available in print.
Bibliography: Includes bibliographical references and index.
ISBN: 9781119265245 (electronic book)
9781119265184
Index Number: QA402
CLC: O175