Parametric Optimization and Related Topics

Parametric Optimization and Related Topics
Author: Jürgen Guddat
Publisher: Mathematical Research
Total Pages: 0
Release: 1987-12-31
Genre: Mathematics
ISBN: 9783112720929


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No detailed description available for "Parametric Optimization and Related Topics".

Parametric Optimization and Related Topics II

Parametric Optimization and Related Topics II
Author: Jürgen Guddat
Publisher: De Gruyter Akademie Forschung
Total Pages: 184
Release: 1991
Genre: Mathematical optimization
ISBN:


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Parametric Optimization

Parametric Optimization
Author: Jürgen Guddat
Publisher:
Total Pages: 208
Release: 1990-12-21
Genre: Mathematics
ISBN:


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Explores optimization problems in which some or all of the individual data involved depends on one parameter. Beginning with a preliminary survey of solution algorithms in one-parametric optimization, the text moves on to examine the pathfollowing curves of local minimizers, pathfollowing along a connected component in the Karush-Kuhn-Tucker set and in the critical set, pathfollowing in the set of local minimizers and in the set of critical points. In addition, practical applications are included.

Mathematical research

Mathematical research
Author:
Publisher:
Total Pages: 400
Release: 1987
Genre:
ISBN: 9783055003370


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Multi-parametric Optimization and Control

Multi-parametric Optimization and Control
Author: Efstratios N. Pistikopoulos
Publisher: John Wiley & Sons
Total Pages: 320
Release: 2020-11-24
Genre: Mathematics
ISBN: 1119265185


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Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support deeper understanding of the material. Researchers and practitioners can use the book as reference. It is also suitable as a primary or a supplementary textbook. Each chapter looks at the theories related to a topic along with a relevant case study. Topic complexity increases gradually as readers progress through the chapters. The first part of the book presents an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. The second examines the connection between multi-parametric programming and model-predictive control—from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The third part of the book addresses multi-parametric optimization in process systems engineering. A step-by-step procedure is introduced for embedding the programming within the system engineering, which leads the reader into the topic of the PAROC framework and software platform. PAROC is an integrated framework and platform for the optimization and advanced model-based control of process systems. Uses case studies to illustrate real-world applications for a better understanding of the concepts presented Covers the fundamentals of optimization and model predictive control Provides information on key topics, such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimal control An appendix summarizes the history of multi-parametric optimization algorithms. It also covers the use of the parametric optimization toolbox (POP), which is comprehensive software for efficiently solving multi-parametric programming problems.

Parametric Optimization and Related Topics V

Parametric Optimization and Related Topics V
Author: Jürgen Guddat
Publisher: Peter Lang Pub Incorporated
Total Pages: 250
Release: 2000
Genre: Science
ISBN: 9780820447940


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This volume contains the proceedings of the fifth conference on Parametric Optimization and Related Topics, held in Tokyo, Japan, from October 6-10, 1997. Parametric optimization as a part of mathematical programming investigates the behaviour of solutions to optimization problems under data perturbations. Properties involved, such as continuity, differentiability, topological stability and structural stability play a fundamental role in a series of further questions that are of interest both from a practical and a theoretical point of view. Many connections with other disciplines of operations research, like stochastic programming, model-building, numerical methods and optimal control originate from these properties. The presented papers (all refereed) are topical and original studies reflecting recent results in current directions of research in theory and applications.