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Applications of Interval Computations (Applied Optimization)

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ISBN 10: 0792338472 / ISBN 13: 9780792338475
Published by Springer, 1996
Used Condition: Fine Hardcover
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Publisher: Kluwer Academic Pub Date of Publication: 1996 Binding: hardcover Edition: Condition: Fine Description: Signed and inscribed to previous owner by Vladik Kreinovich. Previous owner was Dr. Lotfi A. Zadeh, Professor, UC Berkeley. No other markings in book. Lightly read. Lotfi Zadeh is credited, along with John R. Ragazzini, in 1952, with having pioneered the development of the z-transform method in discrete time signal processing and analysis. These methods are now standard in digital signal processing, digital control, and other discrete-time systems used in industry and research. He is an editor of International Journal of Computational Cognition. 425pp. Bookseller Inventory # 3007715

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Bibliographic Details

Title: Applications of Interval Computations (...

Publisher: Springer

Publication Date: 1996

Binding: Hardcover

Book Condition:Fine

About this title

Synopsis:

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.

Product Description:

Applications of Interval Computations contains primarily survey articles of actual industrial applications of numerical analysis with automatic result verification and of interval representation of data. Underlying topics include branch and bound algorithms for global optimization, constraint propagation, solution sets of linear systems, hardware and software systems for interval computations, and fuzzy logic. Actual applications described in the book include economic input-output models, quality control in manufacturing design, a computer-assisted proof in quantum mechanics, medical expert systems, and others. A realistic view of interval computations is taken: the articles indicate when and how overestimation and other challenges can be overcome. An introductory chapter explains the content of the papers in terminology accessible to mathematically literate graduate students. The style of the individual, refereed contributions has been made uniform and understandable, and there is an extensive book-wide index.
Audience: Valuable to students and researchers interested in automatic result verification.

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