Parametric Optimization and Related Topics

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Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.3/5 (91 download)

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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 1989 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parametric Optimization and Related Topics

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Publisher :
ISBN 13 :
Total Pages : 412 pages
Book Rating : 4.F/5 ( download)

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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 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization and Related Topics

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Publisher : Springer Science & Business Media
ISBN 13 : 147576099X
Total Pages : 466 pages
Book Rating : 4.4/5 (757 download)

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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.

Simulation-Based Optimization

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Publisher : Springer
ISBN 13 : 1489974911
Total Pages : 530 pages
Book Rating : 4.4/5 (899 download)

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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 530 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.

Multi-parametric Optimization and Control

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Publisher : John Wiley & Sons
ISBN 13 : 1119265150
Total Pages : 320 pages
Book Rating : 4.1/5 (192 download)

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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.

Postoptimal Analyses, Parametric Programming, and Related Topics

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Publisher : Walter de Gruyter
ISBN 13 : 3110871203
Total Pages : 465 pages
Book Rating : 4.1/5 (18 download)

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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.

Stable Parametric Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 1461500117
Total Pages : 329 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Stable Parametric Programming by : S. Zlobec

Download or read book Stable Parametric Programming written by S. Zlobec and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimality and stability are two important notions in applied mathematics. This book is a study of these notions and their relationship in linear and convex parametric programming models. It begins with a survey of basic optimality conditions in nonlinear programming. Then new results in convex programming, using LFS functions, for single-objective, multi-objective, differentiable and non-smooth programs are introduced. Parametric programming models are studied using basic tools of point-to-set topology. Stability of the models is introduced, essentially, as continuity of the feasible set of decision variables under continuous perturbations of the parameters. Perturbations that preserve this continuity are regions of stability. It is shown how these regions can be identified. The main results on stability are characterizations of locally and globally optimal parameters for stable and also for unstable perturbations. The results are straightened for linear models and bi-level programs. Some of the results are extended to abstract spaces after considering parameters as `controls'. Illustrations from diverse fields, such as data envelopment analysis, management, von Stackelberg games of market economy, and navigation problems are given and several case studies are solved by finding optimal parameters. The book has been written in an analytic spirit. Many results appear here for the first time in book form. Audience: The book is written at the level of a first-year graduate course in optimization for students with varied backgrounds interested in modeling of real-life problems. It is expected that the reader has been exposed to a prior elementary course in optimization, such as linear or non-linear programming. The last section of the book requires some knowledge of functional analysis.

Acta Numerica 1993: Volume 2

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Publisher : Cambridge University Press
ISBN 13 : 9780521443562
Total Pages : 344 pages
Book Rating : 4.4/5 (435 download)

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Book Synopsis Acta Numerica 1993: Volume 2 by : Arieh Iserles

Download or read book Acta Numerica 1993: Volume 2 written by Arieh Iserles and published by Cambridge University Press. This book was released on 1993-04-30 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing the tradition established with the 1992 volume, this 1993's Acta Numerica presents six invited papers on a broad range of topics from numerical analysis. Papers treat each topic at a level intelligible by any numerical analyst from graduate student to professional.

Optimization Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 1402080999
Total Pages : 436 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Optimization Theory by : Hubertus Th. Jongen

Download or read book Optimization Theory written by Hubertus Th. Jongen and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a comprehensive introduction to the theory of (deterministic) optimization. It covers both continuous and discrete optimization. This allows readers to study problems under different points-of-view, which supports a better understanding of the entire field. Many exercises are included to increase the reader's understanding.

Advances in Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3642516823
Total Pages : 527 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Advances in Optimization by : Werner Oettli

Download or read book Advances in Optimization written by Werner Oettli and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This voluume contains actual contributions to the current research directions in Optimizatiton Theory as well as applications to economic problems and to problems in industrial engineering. Of particular interest are: convex- and Nonsmooth Analysis, Sensitivity Theory, Optimization techniques for nonsmooth and Variational problems, Control Theory and Vector optimization. The volume contains research andsurvey papers. The main benefit is given by a global suruvey of the state ofart of modern Optimization Theory and some typical applications.

Recent Developments in Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3642468233
Total Pages : 369 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Recent Developments in Optimization by : Roland Durier

Download or read book Recent Developments in Optimization written by Roland Durier and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this volume is to provide a presentation and discussion of recent developments in optimization and related fields. Equal emphasis is given to theoretical and practical studies. All the papers in this volume contain original results except two of them which are survey contributions. They deal with a wide range of topics such as optimization and variational inequalities, sensitivity and stability analysis, control theory, convex and nonsmooth analysis, and numerical methods.

Advancing Parametric Optimization

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Publisher : Springer Nature
ISBN 13 : 3030618218
Total Pages : 118 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advancing Parametric Optimization by : Nathan Adelgren

Download or read book Advancing Parametric Optimization written by Nathan Adelgren and published by Springer Nature. This book was released on 2021-01-21 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms

Non-Linear Parametric Optimization

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Publisher : Birkhäuser
ISBN 13 : 3034863284
Total Pages : 227 pages
Book Rating : 4.0/5 (348 download)

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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:

Generalized Convexity and Related Topics

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Publisher : Springer Science & Business Media
ISBN 13 : 3540370072
Total Pages : 465 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Generalized Convexity and Related Topics by : Igor V. Konnov

Download or read book Generalized Convexity and Related Topics written by Igor V. Konnov and published by Springer Science & Business Media. This book was released on 2006-11-22 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book contains invited papers by well-known experts on a wide range of topics (economics, variational analysis, probability etc.) closely related to convexity and generalized convexity, and refereed contributions of specialists from the world on current research on generalized convexity and applications, in particular, to optimization, economics and operations research.

Optimization and Optimal Control

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Publisher : Springer Science & Business Media
ISBN 13 : 0387894969
Total Pages : 508 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Optimization and Optimal Control by : Altannar Chinchuluun

Download or read book Optimization and Optimal Control written by Altannar Chinchuluun and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization and optimal control are the main tools in decision making. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. “Optimization and Optimal Control: Theory and Applications” brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems. This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization and optimal control can be applied.

Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 3834893994
Total Pages : 178 pages
Book Rating : 4.8/5 (348 download)

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Book Synopsis Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming by : Christian Küchler

Download or read book Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming written by Christian Küchler and published by Springer Science & Business Media. This book was released on 2010-05-30 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.

Advances in Mathematical Optimization

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3112479920
Total Pages : 240 pages
Book Rating : 4.1/5 (124 download)

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Book Synopsis Advances in Mathematical Optimization by : J. Guddat et al.

Download or read book Advances in Mathematical Optimization written by J. Guddat et al. and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-01-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: