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Best “ordering” for floating-point addition
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 14 ,  Issue 1  (March 1988) table of contents
Pages: 101 - 110  
Year of Publication: 1988
ISSN:0098-3500
Authors
T. G. Robertazzi  State Univ. of New York at Stony Brook, Stony Brook
S. C. Schwartz  Princeton Univ., Princeton, NJ
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 29,   Citation Count: 2
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ABSTRACT

This correspondence examines the influence of the summation order on the numerical accuracy of the resulting sum when the addition is performed using floating-point, finite-precision arithmetic. A simple statistical model is used to find the relative performance of various addition procedures. It is shown that phrasing the question in terms of finding a best ordering is overly restrictive since the most natural and accurate procedures for performing the addition utilize the storage of intermediate sums as well as performing orderings.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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HARTER, H.L. Ordering Statistics and Their Use in Estimation and Testing, Vols. 1 and 2. Superintendent of Documents, U.S. Government Printing Office. Washington, D.C., 1969.
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REVIEW

"Jesse Louis Barlow : Reviewer"

This paper compares a variety of methods for accumulating a floating-point sum. Wilkinson pointed out that if we compute the sum :1Snn = 1 xi:9F:Y in strictly inc  more...

Collaborative Colleagues:
T. G. Robertazzi: colleagues
S. C. Schwartz: colleagues