Some Parallel Algorithms for Linear Model Based Integer Parameter Estimation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Some Parallel Algorithms for Linear Model Based Integer Parameter Estimation PDF full book. Access full book title Some Parallel Algorithms for Linear Model Based Integer Parameter Estimation by Shilei Lin. Download full books in PDF and EPUB format.
Author: Shilei Lin
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
"In some applications, such as wireless communications and Global Positioning Systems (GPS), etc., one needs to estimate the integer-valued parameter vector in a linear model with additive Gaussian noise.In real-time applications, in addition to the accuracy of estimators,the efficiency of estimation algorithms is crucial.To fully utilize modern parallel hardware such as omnipresent multicore processors, this thesis proposes some parallel algorithms to estimate the integer-valued parameter vectors in various linear models. Our parallel algorithms are based on asynchronous iterations.Numerical results are given to illustrate our algorithms' effectiveness, efficiency, and accuracy"--
Author: Shilei Lin
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
"In some applications, such as wireless communications and Global Positioning Systems (GPS), etc., one needs to estimate the integer-valued parameter vector in a linear model with additive Gaussian noise.In real-time applications, in addition to the accuracy of estimators,the efficiency of estimation algorithms is crucial.To fully utilize modern parallel hardware such as omnipresent multicore processors, this thesis proposes some parallel algorithms to estimate the integer-valued parameter vectors in various linear models. Our parallel algorithms are based on asynchronous iterations.Numerical results are given to illustrate our algorithms' effectiveness, efficiency, and accuracy"--
Author: Erricos Kontoghiorghes
Publisher: Springer Science & Business Media
ISBN: 1461545714
Category : Business & Economics
Languages : en
Pages : 196
Get Book Here
Book Description
Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems. The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models. The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.
Author: Erricos Kontoghiorghes
Publisher:
ISBN: 9781461545729
Category :
Languages : en
Pages : 204
Get Book Here
Book Description
Author: H. van der Vorst
Publisher: Elsevier
ISBN: 1483295737
Category : Computers
Languages : en
Pages : 341
Get Book Here
Book Description
This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers.All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices.Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for parallel shared-memory systems, and the design of fast algorithms and implementations for vector supercomputers.
Author: D. Butnariu
Publisher: Elsevier
ISBN: 0080508766
Category : Mathematics
Languages : en
Pages : 515
Get Book Here
Book Description
The Haifa 2000 Workshop on "Inherently Parallel Algorithms for Feasibility and Optimization and their Applications" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study. Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for more than fifty years. However, it was only during the last decade that they have mostly proved their practical usefulness because new generations of computers made their implementation possible in order to solve complex feasibility and optimization problems involving huge amounts of data via parallel processing. These led to an accumulation of computational experience and theoretical information and opened new and challenging questions concerning the behavior of inherently parallel algorithms for feasibility and optimization, their convergence in new environments and in circumstances in which they were not considered before their stability and reliability. Several research groups all over the world focused on these questions and it was the general feeling among scientists involved in this effort that the time has come to survey the latest progress and convey a perspective for further development and concerted scientific investigations. Thus, the editors of this volume, with the support of the Israeli Academy for Sciences and Humanities, took the initiative of organizing a Workshop intended to bring together the leading scientists in the field. The current volume is the Proceedings of the Workshop representing the discussions, debates and communications that took place. Having all that information collected in a single book will provide mathematicians and engineers interested in the theoretical and practical aspects of the inherently parallel algorithms for feasibility and optimization with a tool for determining when, where and which algorithms in this class are fit for solving specific problems, how reliable they are, how they behave and how efficient they were in previous applications. Such a tool will allow software creators to choose ways of better implementing these methods by learning from existing experience.
Author: David O. Torrey (Jr.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 100
Get Book Here
Book Description
Author: Jim Kunce
Publisher:
ISBN: 9780996889766
Category :
Languages : en
Pages :
Get Book Here
Book Description
A Machine-Learning Approach to Parameter Estimation, the sixth volume of the CAS Monograph Series, is now available for download. In this monograph, CAS Fellows Jim Kunce and Som Chatterjee address the use of machine-learning techniques to solve insurance problems. Their model can use any regression-based machine-learning algorithm to analyze the nonlinear relationships between the parameters of statistical distributions and features that relate to a specific problem. Unlike traditional stratification and segmentation, the authors' machine-learning approach to parameter estimation (MLAPE) learns the underlying parameter groups from the data and uses validation to ensure appropriate predictive powe
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 836
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Large space structures (Astronautics)
Languages : en
Pages : 184
Get Book Here
Book Description
Author: United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1080
Get Book Here
Book Description
