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Am 13.02.2012 01:02, schrieb Dan Zuras Intervals:
Dan: In a hurry I copied a section of my book (Computer Arithmetic and Validity, de Gruyter 2008). The section is entitled: Multiple Precision Interval Arithmetic. See the attachment. A look at the formulas shows that the exact dot product is used again and again.Subject: Re: Motion 31 - incorporating Complete Formats into the standard From: John Pryce<j.d.pryce@xxxxxxxxxxxx> Date: Sun, 12 Feb 2012 22:13:33 +0000 To: stds-1788<stds-1788@xxxxxxxxxxxxxxxxx> P1788 Before re-submitting the Level 1 text I need some answers relating to motion 9... . . .Regarding "exact" vs "accurate" or "faithful" dot product,The position paper I have is "The Exact Dot Product as Basic Tool for Long Interval Arithmetic" by Ulrich Kulisch and Van Snyder (UKVS for short), which seems to be written very much as a spec, since it contains "An implementation shall ..." sentences.I think that P1788 should not do the job of 754.... . .Let me comment on just these two issues before you. In principle, I agree with whoever said 1788 should not do 754 things again. And, indeed, you will find the dot products& related reductions as optional in clause 9.4 of 754-2008. Alas, we could not agree on making them mandatory& we could not agree on an accuracy policy. So if 1788 made them both mandatory& exact (as Ulrich wishes) it would not be repeating anything from 754. My second comment is really a question. I am familiar with the uses of Ulrich's dot product in the context of linear floating-point problems. But I am not familiar with how they are used in the interval world.
Best regards, Ulrich
Are they used in the same way as in floating-point by using a mid-rad form to compute interval results by means of an accurate vector or matrix midpoint together with a Jacobian for the radii? Or does one just do a dot product in the inf elements & another on the sup elements to get a narrower dot product on a vector of intervals in some context that may be entirely unrelated to linear problems? I ask partly for my own sake& partly because the answer might drive your own efforts. Dan
-- Karlsruher Institut für Technologie (KIT) Institut für Angewandte und Numerische Mathematik (IANM2) D-76128 Karlsruhe, Germany Prof. Ulrich Kulisch Telefon: +49 721 608-42680 Fax: +49 721 608-46679 E-Mail: ulrich.kulisch@xxxxxxx www.kit.edu www.math.kit.edu/ianm2/~kulisch/ KIT - Universität des Landes Baden-Württemberg und nationales Großforschungszentrum in der Helmholtz-Gemeinschaft
Attachment:
LongInterval.pdf
Description: Adobe PDF document