5 edition of **Parallel algorithms for optimal control of large scale linear systems** found in the catalog.

- 53 Want to read
- 11 Currently reading

Published
**1993**
by Springer-Verlag in London, New York
.

Written in English

- Linear systems,
- Digital control systems,
- Parallel algorithms,
- Parallel processing (Electronic computers)

**Edition Notes**

Includes bibliographical references (p. 433-450) and index.

Statement | Zoran Gajić and Xuemin Shen. |

Series | Communications and control engineering series |

Contributions | Shen, X. 1958- |

Classifications | |
---|---|

LC Classifications | TJ223.M53 G35 1993 |

The Physical Object | |

Pagination | 455 p. : |

Number of Pages | 455 |

ID Numbers | |

Open Library | OL1395927M |

ISBN 10 | 3540198253, 0387198253 |

LC Control Number | 93003304 |

A Library of Parallel Algorithms This is the toplevel page for accessing code for a collection of parallel algorithms. The algorithms are implemented in the parallel programming language NESL and developed by the Scandal project. For each algorithm we give a brief description along with its complexity (in terms of asymptotic work and parallel depth). Parallel Programming and Parallel Algorithms INTRODUCTION Algorithms in which operations must be executed step by step are called serial or sequential algorithms. Algorithms in which several operations may be executed simultaneously are referred to as parallel Size: KB.

Parallel Algorithms by Henri Casanova, et al. Publisher: CRC Press Number of pages: Description: The aim of this book is to provide a rigorous yet accessible treatment of parallel algorithms, including theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and fundamental . mance computing architectures to solve large instances of the problems but little work has been done that establishes performance of these parallel algorithms on problem sizes solvable on a smaller scale system. Additionally, analysis of the algorithms is presented that shows how the ease of pro-gramming approach for XMT creates a clear path.

including optimization, control, large-scale computation, and data commu-nication networks. He has written many research papers and he is the author or coauthor of thirteen textbooks and research monographs. Professor Bertsekas was awarded the INFORMS Prize for Re-search Excellence in the Interface Between Operations Research and Com-. A parallel algorithm can be executed simultaneously on many different processing devices and then combined together to get the correct result. Parallel algorithms are highly useful in processing huge volumes of data in quick time. This tutorial provides an introduction to the design and analysis of.

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Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly coupled systems based on the power-series expansion methods.

Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear systems. The parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale.

Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly coupled systems based on the power-series expansion by: The parallel algorithms presented in this monograph are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly Read more.

Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear systems. The parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly coupled systems based on the power-series expansion methods.

Computer Solution of Large Linear Systems, () A compiler optimization algorithm for shared-memory multiprocessors. IEEE Transactions on Parallel and Distributed Systems 9 Cited by: The main issue in the linear optimal stochastic control is the design of the optimal Kalman filter which has the same order as a dynamical system under consideration.

In the case of large scale systems composed of slow, fast, and weakly coupled state variables, it is possible to replace the design of the global Kalman filters in terms of the Author: Zoran Gajić, Xuemin Shen.

The Parallel QIF Method The method which has been developed so far for the parallel solution of large order dense banded systems of n linear algebraic equations employs a large number of processors (- Author: D.J. Evans.

In this Keynote Lecture, efficient parallel algorithms are presented on highperformance supercomputers for solution of several fundamental problems: a Author: Hojjat Adeli, Amgad Saleh.

@article{osti_, title = {Environmental systems optimization}, author = {Haith, D A}, abstractNote = {Systems analysis is an analytical process which can be used to manage environmental problems. In this book the author discusses particularly the use of mathematical models which reduce environmental problems to mathematical relationships which can be manipulated to examine management.

Scalable Parallel Algorithms for Sparse Linear Systems. Parallel Computing in Optimization, () Decentralized control and computations: status and by: Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern numerical linear techniques for mathematical problems arising in the design and analysis of linear control.

The subject of this chapter is the design and analysis of parallel algorithms. Most of today’s algorithms are sequential, that is, they specify a sequence of steps in which each step consists of a single operation. These algorithms are well suited to today’s computers, which basically perform operations in a File Size: KB.

Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

- Custom parallel linear algebra exploits a ﬁxed, known structure - [Gondzio, Anitescu (PIPS), Laird, ] - Problem class speciﬁc - difﬁcult to implement - Can scale to large parallel architectures (’s - ’s of processors) Parallel Linear Algebra for NLP 30File Size: 6MB.

Algorithms 4 Parallel Computing Design Considerations 12 Parallel Algorithms and Parallel Architectures 13 Relating Parallel Algorithm and Parallel Architecture 14 Implementation of Algorithms: A Two-Sided Problem 14 Measuring Beneﬁ ts of Parallel Computing 15 Amdahl’s Law for Multiprocessor Systems 19File Size: 8MB.

Parallel Algorithms and Applications | Parallel Algorithms and Applications aims to publish high quality scientific papers arising from original research and development from the international. This is largely because the book treats a large amount of the library functions as black boxes.

The MPI starts very basic and gradually introduces the major concepts. My recommendation for anyone reading the book is to supplement it with a good linear algebra book (such as Demmel) and book on C++ (The C++ programming language).Cited by: Linear Optimal Control of Bilinear Systems: With Applications to Singular Perturbations and Weak Coupling (Lecture Notes in Control and Information Sciences) Parallel Algorithms for Optimal Control of Large Scale Linear Systems (Communications and Control Engineering).

Parallel Algorithms for Optimal Control of Large Scale Linear Systems really liked it avg rating — 1 rating — published — 3 editions/5(11). Various papers on control are presented.

The general topics addressed include: neural networks; robust stability; process control; large-scale and parallel computations in control; optimal control; mechanical and electrical control applications; identification of feedback systems; linear multivariable systems; advanced weapon control technology; numerical methods and computation; sampled data.The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background.

It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80, processing units.Parallel Algorithms for Optimal Control of Large Scale Linear Systems, pages, Springer Verlag, Communications and Control Engineering International Series London,[ISBN ].

The reviews of this book can be found in the following journals: Journal .