Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Parametric Optimization And Related Topics
Download Parametric Optimization And Related Topics full books in PDF, epub, and Kindle. Read online Parametric Optimization And Related Topics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Parametric Optimization and Related Topics by : Jürgen Guddat
Download or read book Parametric Optimization and Related Topics written by Jürgen Guddat and published by . This book was released on 1987-12-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Parametric Optimization and Related Topics".
Book Synopsis Multi-parametric Optimization and Control by : Efstratios N. Pistikopoulos
Download or read book Multi-parametric Optimization and Control written by Efstratios N. Pistikopoulos and published by John Wiley & Sons. This book was released on 2020-11-24 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Parametric optimization and related topics VII by : Jürgen Guddat
Download or read book Parametric optimization and related topics VII written by Jürgen Guddat and published by . This book was released on 2004 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parametric Optimization by : Jürgen Guddat
Download or read book Parametric Optimization written by Jürgen Guddat and published by . This book was released on 1990-12-21 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Parametric Optimization and Related Topics V by : Jürgen Guddat
Download or read book Parametric Optimization and Related Topics V written by Jürgen Guddat and published by Peter Lang Pub Incorporated. This book was released on 2000 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :Jürgen Guddat Publisher :Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften ISBN 13 : Total Pages :576 pages Book Rating :4.E/5 ( download)
Book Synopsis Parametric Optimization and Related Topics III by : Jürgen Guddat
Download or read book Parametric Optimization and Related Topics III written by Jürgen Guddat and published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften. This book was released on 1993 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the third conference on Parametric Optimization and Related Topics, held in Gustrow from 30 August until 5 September, 1991. Parametric optimization, as a part of mathematical programming, investigates the behaviour of solutions to optimization problems under data pertubations. This behaviour, like continuity and differentiability, plays a fundamental role for a series of further questions that are of interest from a practical as well as a theoretical point of view. Many relations to other disciplines of operations research, like stochastic programming, modelbuilding, numerical methods, multiobjective optimization and optimal control, originate from this behaviour. The presented articles (all refereed) are topical and original papers reflecting recent results to current directions of research in theory and applications."
Book Synopsis Optimization and Related Topics by : Alexander M. Rubinov
Download or read book Optimization and Related Topics written by Alexander M. Rubinov and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains, in part, a selection of papers presented at the sixth Australian Optimization Day Miniconference (Ballarat, 16 July 1999), and the Special Sessions on Nonlinear Dynamics and Optimization and Operations Re search - Methods and Applications, which were held in Melbourne, July 11-15 1999 as a part of the Joint Meeting of the American Mathematical Society and Australian Mathematical Society. The editors have strived to present both con tributed papers and survey style papers as a more interesting mix for readers. Some participants from the meetings mentioned above have responded to this approach by preparing survey and 'semi-survey' papers, based on presented lectures. Contributed paper, which contain new and interesting results, are also included. The fields of the presented papers are very large as demonstrated by the following selection of key words from selected papers in this volume: • optimal control, stochastic optimal control, MATLAB, economic models, implicit constraints, Bellman principle, Markov process, decision-making under uncertainty, risk aversion, dynamic programming, optimal value function. • emergent computation, complexity, traveling salesman problem, signal estimation, neural networks, time congestion, teletraffic. • gap functions, nonsmooth variational inequalities, derivative-free algo rithm, Newton's method. • auxiliary function, generalized penalty function, modified Lagrange func tion. • convexity, quasiconvexity, abstract convexity.
Book Synopsis Parametric Optimization and Related Topics by :
Download or read book Parametric Optimization and Related Topics written by and published by . This book was released on 1995 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parametric optimization and related topics IV by : Jürgen Guddat
Download or read book Parametric optimization and related topics IV written by Jürgen Guddat and published by . This book was released on 1997-01-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parametric Optimization and Related Topics II by : Jürgen Guddat
Download or read book Parametric Optimization and Related Topics II written by Jürgen Guddat and published by De Gruyter Akademie Forschung. This book was released on 1991 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Non-Linear Parametric Optimization by : B. Bank
Download or read book Non-Linear Parametric Optimization written by B. Bank and published by Walter de Gruyter GmbH & Co KG. This book was released on 1982-12-31 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Non-Linear Parametric Optimization".
Book Synopsis Postoptimal Analyses, Parametric Programming, and Related Topics by : Tomas Gal
Download or read book Postoptimal Analyses, Parametric Programming, and Related Topics written by Tomas Gal and published by Walter de Gruyter. This book was released on 2010-09-03 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Postoptimal Analyses, Parametric Programming, and Related Topics: Degeneracy, Multicriteria Decision Making Redundancy.
Book Synopsis Non-Linear Parametric Optimization by : BANK
Download or read book Non-Linear Parametric Optimization written by BANK and published by Birkhäuser. This book was released on 2013-12-21 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-parametric Optimization and Control by : Efstratios N. Pistikopoulos
Download or read book Multi-parametric Optimization and Control written by Efstratios N. Pistikopoulos and published by John Wiley & Sons. This book was released on 2020-11-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Simulation-Based Optimization by : Abhijit Gosavi
Download or read book Simulation-Based Optimization written by Abhijit Gosavi and published by Springer. This book was released on 2014-10-30 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: · Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) · Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics · An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata · A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.
Book Synopsis Approximation and Optimization by : Juan A. Gomez-Fernandez
Download or read book Approximation and Optimization written by Juan A. Gomez-Fernandez and published by Springer. This book was released on 2006-11-14 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parametric Optimization and Related Topics XI by : Michal Červinka
Download or read book Parametric Optimization and Related Topics XI written by Michal Červinka and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
