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  4. Accelerating interval matrix multiplication by mixed precision arithmetic
 
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Accelerating interval matrix multiplication by mixed precision arithmetic

Publikationstyp
Journal Article
Date Issued
2015-07-01
Sprache
English
Author(s)
Ozaki, Katsuhisa  
Ogita, Takeshi  
Bünger, Florian  
Oishi, Shin’ichi  
Institut
Zuverlässiges Rechnen E-19  
TORE-URI
http://hdl.handle.net/11420/7823
Journal
Nonlinear theory and its applications  
Volume
6
Issue
3
Start Page
364
End Page
376
Citation
Nonlinear Theory and Its Applications, IEICE 3 (6): 364-376 (2015)
Publisher DOI
10.1587/nolta.6.364
This paper is concerned with real interval arithmetic. We focus on interval matrix multiplication. Well-known algorithms for this purpose require the evaluation of several point matrix products to compute one interval matrix product. In order to save computing time we propose a method that modifies such known algorithm by partially using low-precision floating-point arithmetic. The modified algorithms work without significant loss of tightness of the computed interval matrix product but are about 30% faster than their corresponding original versions. The negligible loss of accuracy is rigorously estimated.
DDC Class
004: Informatik
510: Mathematik
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