: 0"0
b=.l=.0j1
r=.1j0
s=.*y
be=.y=.|y
while. be>x do.
vm=. %/@+. m=.l+r
if. y < vm do. r=.m else. l=.m end.
e=.|y-vm
if. e on behalf of Raul
Miller
Sent: Friday, August 2, 2019 12:10 PM
To: Programming forum
Subject: Re: [Jprogramming] Extended precision tolerance
On Thu,
(GMT-05:00)
To: programm...@jsoftware.com
Subject: Re: [Jprogramming] Extended precision tolerance
if the original numbers have "full" precision (instead of 4 decimals) J gives
the result you want
x: % p: 1 + i.10
1r3 1r5 1r7 1r11 1r13 1r17 1r19 1r23 1r29 1r31
x: % +: p: 1 + i.10
> You definitely need an upper bound (and a lower bound). Values like 10
> would be meaningless ...
A (relative) tolerance of 1 or greater is meaningless. See
http://code.jsoftware.com/wiki/Essays/Tolerant_Comparison#Tolerance_Less_Than_1
On Fri, Aug 2, 2019 at 9:11 AM Raul Miller wrote:
> O
On Thu, Aug 1, 2019 at 5:01 PM Nimp O wrote:
> Perhaps this upper bound could be removed, at least for x:, since I believe
> the main use cases for tolerance on this verb would be bigger values, as
> illustrated in my earlier example.
> At least in this context, I can't see anything catastrophic
l
Miller
Sent: Thursday, August 1, 2019 11:12 AM
To: Programming forum
Subject: Re: [Jprogramming] Extended precision tolerance
Looks like this specifies comparison tolerance.
https://code.jsoftware.com/wiki/Essays/Tolerant_Comparison
"Appendix C, System Conventions and Limits, says that the to
ust 1, 2019 11:12 AM
To: Programming forum
Subject: Re: [Jprogramming] Extended precision tolerance
Looks like this specifies comparison tolerance.
https://code.jsoftware.com/wiki/Essays/Tolerant_Comparison
"Appendix C, System Conventions and Limits, says that the tolerance is
less than or
Looks like this specifies comparison tolerance.
https://code.jsoftware.com/wiki/Essays/Tolerant_Comparison
"Appendix C, System Conventions and Limits, says that the tolerance is
less than or equal to 2^_34 . Historically, the upper bound on the
tolerance was chosen so that comparisons involving 3
Hello everyone,
What is the use of non-zero tolerance for the x: verb?
A little example:
a=:0.1667 0.8333 0.4286 0.
x:a
1667r1 8333r1 2143r5000 r1
In Mathematica:
In[1]:= Rationalize[{0.1667, 0.8333, 0.4286, 0.}]
Out[1]= {1667/1, 8333/1, 2143/5000, /100
