Thanks Richard.
I've some stuff too, but I need to look it up. A few years ago I built
a small test spreadsheet for Gnumeric when working with Jody Goldberg.
In the early 2000s, Jody contacted R (I think Duncan Murdoch) to ask if
it was OK for Gnumeric to use R's distribution function approximati
John,
I would be happy to participate in designing the test suite you suggest.
About a year ago I revised FAQ 7.31, based on my talk at the Aalberg R
conference. It now points, in addition to the Goldberg paper that has
been referenced there for a long time, to my appendix on precision.
Here is
Yes. I should have mentioned "optimizing" compilers, and I can agree with "never
trusting exact equality", though I consider conscious use of equality tests
useful.
Optimizing compilers have bitten me once or twice. Unfortunately, a lot of
floating-point work requires attention to detail. In the
> On 23 Apr 2017, at 14:49 , J C Nash wrote:
>
>
> So equality in floating point is not always "wrong", though it should be used
> with some attention to what is going on.
>
> Apologies to those (e.g., Peter D.) who have heard this all before. I suspect
> there are many to whom it is new.
Pet
For over 4 decades I've had to put up with people changing my codes because
I use equalities of floating point numbers in tests for convergence. (Note that
tests of convergence are a subset of tests for termination -- I'll be happy to
explain that if requested.) Then I get "your program isn't work
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