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Titlebook: Applications of Interval Computations; R. Baker Kearfott,Vladik Kreinovich Book 1996 Springer Science+Business Media Dordrecht 1996 algori

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https://doi.org/10.1007/978-3-540-76435-9e obtained an estimate . for a quantity . = .(xi,…,xn); we know the intervals x. of possible values of . ., and we want to find the interval y of possible values of .. Interval computations are one of the main techniques for solving this problem..In some cases, for each i, in addition to the . inter
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https://doi.org/10.1007/978-3-540-76435-9-validating arithmetic. Software tools include variable-precision software packages, interval arithmetic libraries, scientific programming languages, computer algebra systems, and numerical problem solving environments. Hardware designs include coprocessors that support the directed rounding modes a
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Applications of Interval Computations: An Introduction,te students, to researchers from related fields, etc. With this goal in mind, this introduction describes the basic ideas behind interval computations and behind the applications of interval computations that are surveyed in the book.
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Quality Improvement via Optimization of Tolerance Intervals During the Design Stage,nto account fluctuations in the factors; these fluctuations are characterized in terms of tolerance intervals..The case of an a . known model (i.e., known dependency of the performance characteristics on the factors) is considered first. The optimal factor design is chosen by worst-case optimization
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Applications of Interval Computations to Regional Economic Input-Output Models,s industrial sectors of the economy are interrelated and in predicting how these sectors respond to changes in economic activity. In the United States state and regional models are frequently used to help formulate local economic policy. Wassily Leontief is generally credited with the first useful i
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