INTLAB — INTerval LABoratory

Siegfried M. Rump ()
Additional contact information
Siegfried M. Rump: Technical University Hamburg-Harburg, Inst. f. Informatik III

A chapter in Developments in Reliable Computing, 1999, pp 77-104 from Springer

Abstract: Abstract INTLAB is a toolbox for Matlab supporting real and complex intervals, and vectors, full matrices and sparse matrices over those. It is designed to be very fast. In fact, it is not much slower than the fastest pure floating point algorithms using the fastest compilers available (the latter, of course, without verification of the result). Beside the basic arithmetical operations, rigorous input and output, rigorous standard functions, gradients, slopes and multiple precision arithmetic is included in INTLAB. Portability is assured by implementing all algorithms in Matlab itself with exception of exactly one routine for switching the rounding downwards, upwards and to nearest. Timing comparisons show that the used concept achieves the anticipated speed with identical code on a variety of computers, ranging from PC’s to parallel computers. INTLAB is freeware and may be copied from our home page.

Keywords: Matrix Multiplication; Operation Count; Interval Matrix; Verification Algorithm; Interval Matrice (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

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:sprchp:978-94-017-1247-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9789401712477

DOI: 10.1007/978-94-017-1247-7_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().