Dynamic Optimization, Second Edition

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Release : 2013-04-17
Genre : Mathematics
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Book Rating : 280/5 ( reviews)

Dynamic Optimization, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamic Optimization, Second Edition write by Morton I. Kamien. This book was released on 2013-04-17. Dynamic Optimization, Second Edition available in PDF, EPUB and Kindle. Since its initial publication, this text has defined courses in dynamic optimization taught to economics and management science students. The two-part treatment covers the calculus of variations and optimal control. 1998 edition.

Dynamic Optimization

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Release : 2017-01-12
Genre : Business & Economics
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Book Rating : 147/5 ( reviews)

Dynamic Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamic Optimization write by Karl Hinderer. This book was released on 2017-01-12. Dynamic Optimization available in PDF, EPUB and Kindle. This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.

Elements of Dynamic Optimization

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Release : 2000
Genre : Economics, Mathematical
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Book Rating : 965/5 ( reviews)

Elements of Dynamic Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elements of Dynamic Optimization write by Alpha C. Chiang. This book was released on 2000. Elements of Dynamic Optimization available in PDF, EPUB and Kindle. INTRODUCTION 1.

Evolutionary Optimization in Dynamic Environments

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Release : 2012-12-06
Genre : Computers
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Book Rating : 114/5 ( reviews)

Evolutionary Optimization in Dynamic Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Optimization in Dynamic Environments write by Jürgen Branke. This book was released on 2012-12-06. Evolutionary Optimization in Dynamic Environments available in PDF, EPUB and Kindle. Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to continuously and efficiently adapt a solution to a changing environment, find a good trade-off between solution quality and adaptation cost, find robust solutions whose quality is insensitive to changes in the environment, find flexible solutions which are not only good but that can be easily adapted when necessary. All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms.

Optimization of Dynamic Systems

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Release : 2013-03-09
Genre : Technology & Engineering
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Book Rating : 490/5 ( reviews)

Optimization of Dynamic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization of Dynamic Systems write by S. K. Agrawal. This book was released on 2013-03-09. Optimization of Dynamic Systems available in PDF, EPUB and Kindle. This textbook deals with optimization of dynamic systems. The motivation for undertaking this task is as follows: There is an ever increasing need to produce more efficient, accurate, and lightweight mechanical and electromechanical de vices. Thus, the typical graduating B.S. and M.S. candidate is required to have some familiarity with techniques for improving the performance of dynamic systems. Unfortunately, existing texts dealing with system improvement via optimization remain inaccessible to many of these students and practicing en gineers. It is our goal to alleviate this difficulty by presenting to seniors and beginning graduate students practical efficient techniques for solving engineer ing system optimization problems. The text has been used in optimal control and dynamic system optimization courses at the University of Deleware, the University of Washington and Ohio University over the past four years. The text covers the following material in a straightforward detailed manner: • Static Optimization: The problem of optimizing a function that depends on static variables (i.e., parameters) is considered. Problems with equality and inequality constraints are addressed. • Numerical Methods: Static Optimization: Numerical algorithms for the solution of static optimization problems are presented here. The methods presented can accommodate both the unconstrained and constrained static optimization problems. • Calculus of Variation: The necessary and sufficient conditions for the ex tremum of functionals are presented. Both the fixed final time and free final time problems are considered.