Description: From Intervals to -?: Towards a General Description of Validated Uncertainty by Kreinovich, Vladik, ISBN 3031205685, ISBN-13 9783031205682, Like New Used, Free shipping in the US This book is about methodological aspects of uncertainty propagation in data processing. Uncertainty propagation is an important problem: while computer algorithms efficiently process data related to many aspects of their lives, most of these algorithms implicitly assume that the numbers they process are exact. In reality, these numbers come from measurements, and measurements are never 100% exact. Because of this, it makes no sense to translate 61 kg into pounds and get the result—as computers do—with 13 digit accuracy. In many cases—., in celestial mechanics—the state of a system can be described by a few numbers: the values of the corresponding physical quantities. In such cases, for each of these quantities, we know (at least) the upper bound on the measurement error. This bound is either provided by the manufacturer of the measuring instrument—or is estimated by the user who calibrates this instrument. However, in many other cases, the description of the system is more complex than a few numbers: we need a function to describe a physical field (., electromagnetic field); we need a vector in Hilbert space to describe a quantum state; we need a pseudo-Riemannian space to describe the physical space-time, etc. To describe and process uncertainty in all such cases, this book proposes a general methodology—a methodology that includes intervals as a particular case. Th is recommended to students and researchers interested in challenging aspects of uncertainty analysis and to practitioners who need to handle uncertainty in such unusual situations.
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Book Title: From Intervals to -?: Towards a General Description of Validated
Number of Pages: Xiii, 116 Pages
Publication Name: From Intervals To-? : Towards a General Description of Validated Uncertainty
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Engineering (General), Intelligence (Ai) & Semantics, Data Processing
Type: Textbook
Item Weight: 13.1 Oz
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Antonio Carlos Da Rocha Costa, Vladik Kreinovich, Graçaliz Pereira Dimuro
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover