Computer Arithmetic And Self Validating Numerical Methods 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 Computer Arithmetic And Self Validating Numerical Methods PDF full book. Access full book title Computer Arithmetic And Self Validating Numerical Methods.

Computer Arithmetic and Self-Validating Numerical Methods

Computer Arithmetic and Self-Validating Numerical Methods
Author: Christian Ullrich
Publisher: Academic Press
Total Pages: 316
Release: 2014-05-10
Genre: Computers
ISBN: 1483267814

Download Computer Arithmetic and Self-Validating Numerical Methods Book in PDF, ePub and Kindle

Notes and Reports in Mathematics in Science and Engineering, Volume VII: Computer Arithmetic and Self-Validating Numerical Methods compiles papers presented at the first international conference on “Computer Arithmetic and Self-Validating Numerical Methods, held in Basel from October 2 to 6, 1989. This book begins by providing a tutorial introduction to computer arithmetic with operations of maximum accuracy, differentiation arithmetic and enclosure methods, and programming languages for self-validating numerical methods. The rest of the chapters discuss the determination of guaranteed bounds for eigenvalues by variational methods and guaranteed inclusion of solutions of differential equations. An appendix covering the IMACS-GAMM resolution on computer arithmetic is provided at the end of this publication. This volume is recommended for researchers and professionals working on computer arithmetic and self-validating numerical methods.


SCAN 89

SCAN 89
Author: Universität Basel
Publisher:
Total Pages:
Release: 1989
Genre:
ISBN:

Download SCAN 89 Book in PDF, ePub and Kindle


Self-Validating Numerics for Function Space Problems

Self-Validating Numerics for Function Space Problems
Author: Edgar W. Kaucher
Publisher: Elsevier
Total Pages: 270
Release: 2014-06-20
Genre: Mathematics
ISBN: 1483273776

Download Self-Validating Numerics for Function Space Problems Book in PDF, ePub and Kindle

Self-Validating Numerics for Function Space Problems describes the development of computational methods for solving function space problems, including differential, integral, and function equations. This seven-chapter text highlights three approaches, namely, the E-methods, ultra-arithmetic, and computer arithmetic. After a brief overview of the different self-validating approaches, this book goes on introducing the mathematical preliminaries consisting principally of fixed-point theorems and the computational context for the development of validating methods in function spaces. The subsequent chapters deals with the development and application of point of view of ultra-arithmetic and the constructs of function-space arithmetic spaces, such as spaces, bases, rounding, and approximate operations. These topics are followed by discussion of the iterative residual correction methods for function problems and the requirements of a programming language needed to make the tools and constructs of the methodology available in actual practice on a computer. The last chapter describes the techniques for adapting the methodologies to a computer, including the self-validating results for specific problems. This book will prove useful to mathematicians and advance mathematics students.


Computer Arithmetic and Validity

Computer Arithmetic and Validity
Author: Ulrich Kulisch
Publisher: Walter de Gruyter
Total Pages: 456
Release: 2013-04-30
Genre: Mathematics
ISBN: 3110301792

Download Computer Arithmetic and Validity Book in PDF, ePub and Kindle

This is the revised and extended second edition of the successful basic book on computer arithmetic. It is consistent with the newest recent standard developments in the field. The book shows how the arithmetic and mathematical capability of the digital computer can be enhanced in a quite natural way. The work is motivated by the desire and the need to improve the accuracy of numerical computing and to control the quality of the computed results (validity). The accuracy requirements for the elementary floating-point operations are extended to the customary product spaces of computations including interval spaces. The mathematical properties of these models are extracted into an axiomatic approach which leads to a general theory of computer arithmetic. Detailed methods and circuits for the implementation of this advanced computer arithmetic on digital computers are developed in part two of the book. Part three then illustrates by a number of sample applications how this extended computer arithmetic can be used to compute highly accurate and mathematically verified results. The book can be used as a high-level undergraduate textbook but also as reference work for research in computer arithmetic and applied mathematics.


Applications of Interval Computations

Applications of Interval Computations
Author: R. Baker Kearfott
Publisher: Springer Science & Business Media
Total Pages: 435
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461334403

Download Applications of Interval Computations Book in PDF, ePub and Kindle

Primary Audience for the Book • Specialists in numerical computations who are interested in algorithms with automatic result verification. • Engineers, scientists, and practitioners who desire results with automatic verification and who would therefore benefit from the experience of suc cessful applications. • Students in applied mathematics and computer science who want to learn these methods. Goal Of the Book This book contains surveys of applications of interval computations, i. e. , appli cations of numerical methods with automatic result verification, that were pre sented at an international workshop on the subject in EI Paso, Texas, February 23-25, 1995. The purpose of this book is to disseminate detailed and surveyed information about existing and potential applications of this new growing field. Brief Description of the Papers At the most fundamental level, interval arithmetic operations work with sets: The result of a single arithmetic operation is the set of all possible results as the operands range over the domain. For example, [0. 9,1. 1] + [2. 9,3. 1] = [3. 8,4. 2], where [3. 8,4. 2] = {x + ylx E [0. 9,1. 1] and y E [3. 8,4. 2]}. The power of interval arithmetic comes from the fact that (i) the elementary operations and standard functions can be computed for intervals with formulas and subroutines; and (ii) directed roundings can be used, so that the images of these operations (e. g.


Scientific Computing, Computer Arithmetic, and Validated Numerics

Scientific Computing, Computer Arithmetic, and Validated Numerics
Author: Marco Nehmeier
Publisher: Springer
Total Pages: 291
Release: 2016-04-08
Genre: Computers
ISBN: 3319317695

Download Scientific Computing, Computer Arithmetic, and Validated Numerics Book in PDF, ePub and Kindle

This book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in Würzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.


Application Specific Processors

Application Specific Processors
Author: Earl E. Swartzlander Jr.
Publisher: Springer Science & Business Media
Total Pages: 266
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461314577

Download Application Specific Processors Book in PDF, ePub and Kindle

Application Specific Processors is written for use by engineers who are developing specialized systems (application specific systems). Traditionally, most high performance signal processors have been realized with application specific processors. The explanation is that application specific processors can be tailored to exactly match the (usually very demanding) application requirements. The result is that no `processing power' is wasted for unnecessary capabilities and maximum performance is achieved. A disadvantage is that such processors have been expensive to design since each is a unique design that is customized to the specific application. In the last decade, computer-aided design systems have been developed to facilitate the development of application specific integrated circuits. The success of such ASIC CAD systems suggests that it should be possible to streamline the process of application specific processor design. Application Specific Processors consists of eight chapters which provide a mixture of techniques and examples that relate to application specific processing. The inclusion of techniques is expected to suggest additional research and to assist those who are faced with the requirement to implement efficient application specific processors. The examples illustrate the application of the concepts and demonstrate the efficiency that can be achieved via application specific processors. The chapters were written by members and former members of the application specific processing group at the University of Texas at Austin. The first five chapters relate to specific arithmetic which often is the key to achieving high performance in application specific processors. The next two chapters focus on signal processing systems, and the final chapter examines the interconnection of possibly disparate elements to create systems.