A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic
Julius Žilinskas () and
Ian David Lockhart Bogle ()
Additional contact information
Julius Žilinskas: Institute of Mathematics and Informatics
Ian David Lockhart Bogle: University College London
A chapter in Models and Algorithms for Global Optimization, 2007, pp 97-108 from Springer
Abstract:
Abstract Interval arithmetic is a valuable tool in numerical analysis and modeling. Interval arithmetic operates with intervals defined by two real numbers and produces intervals containing all possible results of corresponding real operations with real numbers from each interval. An interval function can be constructed replacing the usual arithmetic operations by interval arithmetic operations in the algorithm calculating values of functions. An interval value of a function can be evaluated using the interval function with interval arguments and determines the lower and upper bounds for the function in the region defined by the vector of interval arguments.
Keywords: Global Optimization; Interval Function; Interval Arithmetic; Sample Standard Deviation; Estimation Range (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-36721-7_6
Ordering information: This item can be ordered from
http://www.springer.com/9780387367217
DOI: 10.1007/978-0-387-36721-7_6
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().