Computational Methods For Optimizing Distributed Systems
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Author |
: Charles Teo |
Publisher |
: Academic Press |
Total Pages |
: 331 |
Release |
: 1984-08-21 |
ISBN-10 |
: 9780080956787 |
ISBN-13 |
: 0080956785 |
Rating |
: 4/5 (87 Downloads) |
Synopsis Computational Methods for Optimizing Distributed Systems by : Charles Teo
Optimal control theory of distributed parameter systems has been a very active field in recent years; however, very few books have been devoted to the studiy of computational algorithms for solving optimal control problems. For this rason the authors decided to write this book. Because the area is so broad, they confined themselves to optimal control problems involving first and second boundary-value problems of a linear second-order parabolic partial differential equation. However the techniques used are by no means restricted to these problems. They can be and in some cases already have been applied to problems involving other types of distributed parameter system. The authors aim is to devise computational algorithms for solving optimal control problems with particular emphasis on the mathematical theory underlying the algorithms. These algorithms are obtained by using a first-order strong variational method or gradient-type methods.
Author |
: Dimitri Bertsekas |
Publisher |
: Athena Scientific |
Total Pages |
: 832 |
Release |
: 2015-03-01 |
ISBN-10 |
: 9781886529151 |
ISBN-13 |
: 1886529159 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Parallel and Distributed Computation: Numerical Methods by : Dimitri Bertsekas
This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.
Author |
: Dariusz Ucinski |
Publisher |
: CRC Press |
Total Pages |
: 392 |
Release |
: 2004-08-27 |
ISBN-10 |
: 9780203026786 |
ISBN-13 |
: 0203026780 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Optimal Measurement Methods for Distributed Parameter System Identification by : Dariusz Ucinski
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.
Author |
: Sukumar Ghosh |
Publisher |
: CRC Press |
Total Pages |
: 546 |
Release |
: 2014-07-14 |
ISBN-10 |
: 9781466552982 |
ISBN-13 |
: 1466552980 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Distributed Systems by : Sukumar Ghosh
Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible—clarity is given priority over mathematical formalism. This easily digestible text: Features significant updates that mirror the phenomenal growth of distributed systems Explores new topics related to peer-to-peer and social networks Includes fresh exercises, examples, and case studies Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.
Author |
: Lakshmikantham |
Publisher |
: Elsevier |
Total Pages |
: 255 |
Release |
: 1988-05-01 |
ISBN-10 |
: 9780080958699 |
ISBN-13 |
: 0080958699 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Theory of Difference Equations Numerical Methods and Applications by V Lakshmikantham and D Trigiante by : Lakshmikantham
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Author |
: Donald James Ewing |
Publisher |
: |
Total Pages |
: 664 |
Release |
: 1970 |
ISBN-10 |
: WISC:89010889566 |
ISBN-13 |
: |
Rating |
: 4/5 (66 Downloads) |
Synopsis Computational Methods for the Optimization of Sampled-data Distributed-parameter Systems by Use of Dynamic Programing by : Donald James Ewing
Author |
: Peter Gritzmann |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 388 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9783642590733 |
ISBN-13 |
: 364259073X |
Rating |
: 4/5 (33 Downloads) |
Synopsis Recent Advances in Optimization by : Peter Gritzmann
This book presents recent theoretical and practical aspects in the field of optimization and convex analysis. The topics covered in this volume include: - Equilibrium models in economics. - Control theory and semi-infinite programming. - Ill-posed variational problems. - Global optimization. - Variational methods in image restoration. - Nonsmooth optimization. - Duality theory in convex and nonconvex optimization. - Methods for large scale problems.
Author |
: Rohit Anand |
Publisher |
: John Wiley & Sons |
Total Pages |
: 469 |
Release |
: 2024-03-12 |
ISBN-10 |
: 9781394188086 |
ISBN-13 |
: 1394188080 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Meta-Heuristic Algorithms for Advanced Distributed Systems by : Rohit Anand
META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Author |
: Ivan V. Sergienko |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 237 |
Release |
: 2012-07-27 |
ISBN-10 |
: 9781461442110 |
ISBN-13 |
: 1461442117 |
Rating |
: 4/5 (10 Downloads) |
Synopsis Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity by : Ivan V. Sergienko
This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.
Author |
: Dario Bruneo |
Publisher |
: John Wiley & Sons |
Total Pages |
: 313 |
Release |
: 2015-04-08 |
ISBN-10 |
: 9781119131137 |
ISBN-13 |
: 1119131138 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Quantitative Assessments of Distributed Systems by : Dario Bruneo
Distributed systems employed in critical infrastructures must fulfill dependability, timeliness, and performance specifications. Since these systems most often operate in an unpredictable environment, their design and maintenance require quantitative evaluation of deterministic and probabilistic timed models. This need gave birth to an abundant literature devoted to formal modeling languages combined with analytical and simulative solution techniques The aim of the book is to provide an overview of techniques and methodologies dealing with such specific issues in the context of distributed systems and covering aspects such as performance evaluation, reliability/availability, energy efficiency, scalability, and sustainability. Specifically, techniques for checking and verifying if and how a distributed system satisfies the requirements, as well as how to properly evaluate non-functional aspects, or how to optimize the overall behavior of the system, are all discussed in the book. The scope has been selected to provide a thorough coverage on issues, models. and techniques relating to validation, evaluation and optimization of distributed systems. The key objective of this book is to help to bridge the gaps between modeling theory and the practice in distributed systems through specific examples.