Skip to main content
Log in

Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic)

Интервальные методы, гарантирующие оценку снизу, и новое обоснование арифметики Каухера

  • Published:
Reliable Computing

Abstract

One of the main objectives of interval computations is, given the functionf(x 1, ...,x n ), andn intervals\(\bar x_1 ,...,\bar x_n\), to compute the range\(\bar y = f(\bar x_1 ,...,\bar x_n )\). Traditional methods of interval arithmetic compute anenclosure \(Y \supseteq \bar y\) for the desired interval\(\bar y\), an enclosure that is often an overestimation. It is desirable to know how close this enclosure is to the desired range interval.

For that purpose, we develop a new interval formalism that produces not only the enclosure, but also theinner estimate for the desired range\(\bar y\), i.e., an interval y such that\(y \subseteq \bar y\).

The formulas for this new method turn out to be similar to the formulas of Kaucher arithmetic. Thus, we get a new justification for Kaucher arithmetic.

Abstract

Одной их главных задач в области интервальных вычислений является следующая: дана функцияf(x 1, ...,x n ) иn интервалов\(\bar x_1 ,...,\bar x_n\). Требуется вычислить диапазон\(\bar y = f(\bar x_1 ,...,\bar x_n )\). Традиционные методы интервальной арифметики позволяют вычислитьвкчеине \(Y \supseteq \bar y\) искомого интервала\(\bar y\), причем это включение является оценкой сверху. Интересно выяснить, как близко это включение подходит к искомому интервалу.

С этой целью предложен новый интервальный формализм, порождающий не только включение, но иоцеиху снцу для искомого диапазона\(\bar y\), т. е. интервал y такой, что\(y \subseteq \bar y\).

Формулы предлагаемого метода оказываются сходными с соотношениями арифметики Каухера. Таким образом, этот метод дает нам новое обоснование арифметики Каухера.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Artbauer, O.Application of interval, statistical, and fuzzy methods to the evaluation of measurements. Metrologia25 (1988), pp. 81–86.

    Article  Google Scholar 

  2. Gardeñes, E. and Trepat, A.The interval computing systems SIGLA-PL/1 (0). Freiburger Intervall-Berichte79 (8) (1979).

  3. Gardeñes, E. and Trepat, A.Fundamentals of SIGLA, an interval computing system over the completed set of intervals. Computing24 (1980), pp. 161–179.

    Article  MathSciNet  Google Scholar 

  4. Gardeñes, E., Trepat, A., and Janer, J. M.SIGLA-PL/1. Development and applications. In: Nickel, K. L. E. (ed.) “Interval Mathematics 1980”, Academic Press, N.Y., 1980, pp. 301–315.

    Google Scholar 

  5. Kaucher, E.Über Eigenschaften und Anwendungsmöglichkeiten der erweiterten Intervallrechnung und des hyperbolische Fastkörpers über R. Computing Suppl.1 (1977), pp. 81–94.

    MATH  Google Scholar 

  6. Loo, S. G.Measures of fuzziness. Cybernetica20 (1977), pp. 201–210.

    MATH  Google Scholar 

  7. Markov, S. M.Extended interval arithmetic involving infinite intervals. Mathematica Balkanica, New series6 (3) (1992), pp. 269–304.

    MATH  MathSciNet  Google Scholar 

  8. Musaev, E. A.Unexpected aspect of interval approach in a task of optimal currency exchange rates. In: “International Conference on Interval and Computer-Algebraic Methods in Science and Engineering (Interval’94), St.Petersburg, Russia, March 7–10, 1994, Abstracts”, pp. 179–180.

  9. Narin’yani, A. S.Subdefinite sets—a new datatype for knowledge representation. Academy of Sciences, Siberian Branch, Computing Center, Novosibirsk, Technical Report No. 232, 1980 (in Russian).

  10. Narin’yani, A. S.Tools that simulate data incompleteness, and their usage in knowledge representation. In: “Knowledge representation and simulation of the understanding process”, Academy of Sciences, Siberian Branch, Computing Center, Novosibirsk, 1980 (in Russian).

  11. Zyuzin, V. S.Twins and a method for solving systems of twin equations. In: “Interval Analysis”, Krasnoyarsk, Academy of Sciences Computing Center, Technical Report No. 6, 1988, pp. 19–21 (in Russian).

Download references

Author information

Authors and Affiliations

Authors

Additional information

© V. Kreinovich, V. M. Nesterov, N. A. Zheludeva, 1996

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kreinovich, V., Nesterov, V.M. & Zheludeva, N.A. Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic). Reliable Comput 2, 119–124 (1996). https://doi.org/10.1007/BF02425913

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02425913

Keywords

Navigation