[sage-support] Re: Confused about rmul and lmul

2010-12-13 Thread Kwankyu
I wrote a patch according to your suggestion in

http://trac.sagemath.org/sage_trac/ticket/10473

Thank you.

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Re: [sage-support] Re: Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread Robert Bradshaw
On Mon, Dec 13, 2010 at 12:16 PM, Chris Seberino  wrote:
>
> OK thanks for your help.  I think I got it.   The effect of RealField
> is like creating a new number type.  I need to make sure all my real
> are of the right type.  It appears integers are fine as is.

Yes, exactly. Exact types (e.g. integers, rationals, symbolic
expressions) will get converted to the correct degree of precision.

> Here is working code...
>
> def test(big):
>    my_pi      = RealField(big)(pi)
>    ten        = RealField(big)(10.0)
>    constant   = 100 * sqrt(my_pi/log(ten))
>    ten_thou   = RealField(big)(1.0)
>    f(k)       = ten^(-k^2/ten_thou)
>    the_sum    = RealField(big)(sum(f(k) for k in range(-big, big +
> 1)))
>    difference = the_sum - constant
>    return difference

You can be a bit simpler then this. E.g.

sage: R = RealField(1000)

sage: constant = R(100 * sqrt(pi/log(10))) # everything exact before the cast

sage: ten_thou = R(1)

sage: f(k) = 10^(-k^2/ten_thou) # result will be in R because ten_thou is

sage: the_sum = sum(f(k) for k in range(-1000, 1001)); the_sum
 
116.806521814573408154703961183569656583504707301922359958037591640215510813039244934779299244023546182097713963521073027455330258514764785349144281947839532827346835171962415366657291332526181608818055375581821843529213967899316532193194799347444658828139424420035706699509726059514135509142461539243

- Robert

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[sage-support] Re: Having trouble getting *ultra* high precision in this infinite sum calculation...

2010-12-13 Thread kcrisman


On Dec 13, 4:52 pm, Greg Marks  wrote:
> Though it is hard to resist Thierry Dumont's invitation
> to a large cup of coffee, my inclination would be to
> compile an MPFR program for calculations of this sort.
> Incidentally, range(-1,1) is not symmetric about 0.

Good point.  You'd need range(-1,10001).

> In fact, there's no need for negative indices at all in
> this particular sum.

:-)  Although it might make it easier than to double except at i=0.

- kcrisman

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[sage-support] Re: Having trouble getting *ultra* high precision in this infinite sum calculation...

2010-12-13 Thread Greg Marks
Though it is hard to resist Thierry Dumont's invitation
to a large cup of coffee, my inclination would be to
compile an MPFR program for calculations of this sort.
Incidentally, range(-1,1) is not symmetric about 0.
In fact, there's no need for negative indices at all in
this particular sum.

Best regards,
Greg Marks


   | Greg Marks |
   | Department of Mathematics and Computer Science |
   | St. Louis University   |
   | St. Louis, MO 63103-2007   |
   | U.S.A. |
   ||
   | Phone: (314)977-7206   |
   | Fax: (314)977-1452 |
   | Web: http://math.slu.edu/~marks|


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[sage-support] Re: Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread Chris Seberino

OK thanks for your help.  I think I got it.   The effect of RealField
is like creating a new number type.  I need to make sure all my real
are of the right type.  It appears integers are fine as is.

Here is working code...

def test(big):
my_pi  = RealField(big)(pi)
ten= RealField(big)(10.0)
constant   = 100 * sqrt(my_pi/log(ten))
ten_thou   = RealField(big)(1.0)
f(k)   = ten^(-k^2/ten_thou)
the_sum= RealField(big)(sum(f(k) for k in range(-big, big +
1)))
difference = the_sum - constant
return difference

I can see difference getting smaller for test(1000), test(2000),
test(3000), etc.

cs

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[sage-support] Re: Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread kcrisman
I meant like

RealField(10)(10^(-k^2/1))

But I am not wise enough in the ways of RealField to know whether one
would have to do RealField(10)(1) first...  presumably those
who know the underlying stuff might respond :)  But at least this
might help you get a start on what is going on.  Certainly your sum is
not going to be in the extended precision field until you actually put
it there, which is your last step, and hence meaningless.  I also
don't know how much memory this would all take - likely the paper did
something a little more sophisticated than this.

- kcrisman

On Dec 13, 2:50 pm, Chris Seberino  wrote:
> On Dec 13, 1:09 pm, kcrisman  wrote:
>
> > I think you would have to let k be in that RealField, wouldn't you?
> > Or at least f(k).  That might be part of the issue.  If you put the
> > whole sum in RealField, the precision will be that of 1.0, I
> > suppose (?) ...
>
> How do you put k in the RealField?  Notice the variable I named
> constant also has a "10.0".  I don't know if that is a problem.   Is
> there an easy way to just make EVERYTHING have high precision to be
> safe?  I tried eliminating my definitions and doing all on one line
> but it didn't improve things...
>
> RealField(10)( sum(10^(-k^2/1.0) for k in range(-1,1))
> - 100*sqrt(pi/log(10.0)) )
>
> cs

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[sage-support] Re: Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread Chris Seberino


On Dec 13, 1:09 pm, kcrisman  wrote:
> I think you would have to let k be in that RealField, wouldn't you?
> Or at least f(k).  That might be part of the issue.  If you put the
> whole sum in RealField, the precision will be that of 1.0, I
> suppose (?) ...

How do you put k in the RealField?  Notice the variable I named
constant also has a "10.0".  I don't know if that is a problem.   Is
there an easy way to just make EVERYTHING have high precision to be
safe?  I tried eliminating my definitions and doing all on one line
but it didn't improve things...

RealField(10)( sum(10^(-k^2/1.0) for k in range(-1,1))
- 100*sqrt(pi/log(10.0)) )

cs

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[sage-support] Re: Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread kcrisman


On Dec 13, 1:39 pm, Chris Seberino  wrote:
> In a previous post I was told to use RealField if I wanted very high
> degrees of accuracy.
>
> I'm still now sure I'm using RealField right and would appreciate any
> help debugging my puzzle.
>
> sage: constant = 100*sqrt(pi/log(10.0))
> sage: f(k) = 10^(-k^2/1.0)
> sage: N = 1
> sage: RealField(10)(sum(f(k) for k in range(-N, N))- constant)

I think you would have to let k be in that RealField, wouldn't you?
Or at least f(k).  That might be part of the issue.  If you put the
whole sum in RealField, the precision will be that of 1.0, I
suppose (?) ...

> The infinite sum should agree with the constant to over 18000 digits.
> As I increase the value of N and the size of the mantissa  I can't
> seem to ever get more than around 13 digits of agreement.
>
> (Context can be found at top of page 2 of this 
> paper:http://arxiv.org/abs/math.GM/0409014/)
>
> Sincerely,
>
> Chris

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[sage-support] Need help using RealField to get 18000 digits of accuracy in infinite sum...

2010-12-13 Thread Chris Seberino
In a previous post I was told to use RealField if I wanted very high
degrees of accuracy.

I'm still now sure I'm using RealField right and would appreciate any
help debugging my puzzle.

sage: constant = 100*sqrt(pi/log(10.0))
sage: f(k) = 10^(-k^2/1.0)
sage: N = 1
sage: RealField(10)(sum(f(k) for k in range(-N, N))- constant)

The infinite sum should agree with the constant to over 18000 digits.
As I increase the value of N and the size of the mantissa  I can't
seem to ever get more than around 13 digits of agreement.

(Context can be found at top of page 2 of this paper:
http://arxiv.org/abs/math.GM/0409014/ )

Sincerely,

Chris

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[sage-support] Re: Having trouble getting *ultra* high precision in this infinite sum calculation...

2010-12-13 Thread Chris Seberino


On Dec 13, 2:47 am, Simon King  wrote:
>   sage: 2*sum(10^(-k^2/d) for k in range(1,2))
>   2.02019722722490674759723772962542922944721452394745083...e-1

> So there is a small progress in the summation! But I have no idea
> whether at the end of the day the small progress will be enough to
> cover the big difference -1.27897692436818e-13 to your theoretical
> result.

Thanks.  I agree.  Because your result is s small I'm also not
sure where the problem lies.  I happen to know from that paper that
the 2 sides of the candidate identity agree to 18,000 digits before
the error occurs!!!

cs

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Re: [sage-support] bug in automorphism group of block designs?

2010-12-13 Thread David Joyner
The procedure I am calling does not use GAP or nauty.
The algorithms nauty uses were written, from scratch, in Cython
by Robert Miller. I'm not sure what the problem is since the
same command seems to work correctly in other examples.

On Mon, Dec 13, 2010 at 4:56 AM, William Laffin  wrote:
> No doubt coming from the automorphism moving blocks no?
> In gap try this:
>>LoadPackage("Design");
>
>>b:=BlockDesign(9,[
> [1,2,3],
> [4,5,6],
> [7,8,9],
> [1,5,9],
> [2,6,7],
> [3,4,8],
> [3,5,7],
> [1,6,8],
> [2,4,9],
> [1,4,7],
> [2,5,8],
> [3,6,9]]);;
>>g:=AutomorphismGroup(b);
>
> What set is g acting on? I can't tell, I'm on windows right now, and
> the linux machine i have access too does not have nauty or design
> configured correctly with GAP. But I'm pretty sure your error comes
> from nauty giving the permutation group on blocks and not points.
>
>
> On Thu, Dec 2, 2010 at 2:16 PM, David Joyner  wrote:
>> Hi:
>>
>> I'l not sure why the following error arises.
>>
>>
>> sage: from sage.combinat.designs.block_design import steiner_triple_system
>> sage: sts = steiner_triple_system(9)
>> sage: sts.block_design_checker(2,9,3,1)
>> True
>> sage: sts.parameters()
>> (2, 9, 3, 1)
>> sage: B = sts.blocks()
>> sage: sts.points()
>> [0, 1, 2, 3, 4, 5, 6, 7, 8]
>> sage: BD = BlockDesign(9, B)
>> sage: BD.automorphism_group()
>> ---
>> TypeError                                 Traceback (most recent call last)
>>
>> .
>>
>> TypeError: permutation PermList([1, 2, 4, 3, 8, 12, 11, 5, 9, 10, 7,
>> 6]) not in SymmetricGroup(9)
>>
>>
>>
>> Does anyone on this list have an idea?
>>
>> - David Joyner
>>
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>

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Re: [sage-support] Re: Having trouble getting *ultra* high precision in this infinite sum calculation...

2010-12-13 Thread Thierry Dumont

Why not compute in QQ? Sage  is done for this...:

sage: s1=sum(10^(-q^2/1) for q in range(-1,1))
(wait some time...)
sage: s2=sum(10^(-k^2/1) for k in range(-2,2))
(drink a large cup of coffee)..

then:
sage: t=s1-s2

sage: float(t)
0.0
ok, let's try more precise:

sage: R=RealField(1000)
sage: R(t)
-1.02019. e-1000

e-1000! ah, ah!

sage: R=RealField(100)
sage: R(t)
-1.0201972272249067475972377296e-1

ok.
sage: R=RealField(53)
sage: R(t)
-1.02019722722491e-1
ok!

BUT:
sage: RDF(t)
0.0

RDF and RealField(53) have the same mantissa, but not the same exposant 
size!


Yours
t.d.

Le 13/12/2010 09:47, Simon King a écrit :

Hi Chris,

disclaimer: I am no expert in numerics.

On 13 Dez., 07:34, Chris Seberino  wrote:

Why isn't the error improving as I increase the number of terms that
are summed?  Am I doing something wrong in Sage?  (Yes it is possible
that this infinite sum converges unimaginably slowly so I wanted to
check first I wasn't doing something dumb.)


I think you use a precision that is too small

The summands are of course very small. So, comparing the two results
in a field with 53 digits precision may be pointless:
   sage: sum(10^(-k^2/1.0) for k in range(-2,2)) ==
sum(10^(-k^2/1.0) for k in range(-1,1))
   True

Note that the denominator "1.0" in your exponent belongs to RR,
which by default has 53 digits precision. Let us raise it to 6000:
   sage: d = RealField(6000)(1)
   sage: d.precision()
   6000

Unfortunately, the sums are now taking a very long time to compute.
But we are only interested in their difference.
So, it suffices to do (still taking about one minute):
   sage: 2*sum(10^(-k^2/d) for k in range(1,2))
   2.02019722722490674759723772962542922944721452394745083...e-1

So there is a small progress in the summation! But I have no idea
whether at the end of the day the small progress will be enough to
cover the big difference -1.27897692436818e-13 to your theoretical
result.

Cheers,
Simon



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[sage-support] Re: Confused about rmul and lmul

2010-12-13 Thread Niles


On Dec 11, 1:36 pm, Jason Grout  wrote:
>
> I think it may have just been a copy-paste error from the lmul function.

There is an error in lmul, but there is also an inconsistency between
the manual and the docstring for rmul (that is, if I'm reading them
correctly):

According to the manual, r*s returns the value of s._rmul_(r).
According to the docstring for _rmul_, it is s*r which should return
the value of s._rmul_(r).


Perhaps Kwankyu and I are misunderstanding one or both of the
sources.  In any case, the real question of which method gets called
can be easily tested using the Localization example [1] from the same
manual page.  I changed _rmul_ and left _lmul_ alone, so we have

   def _rmul_(self, c):
   return LocalizationElement(self.parent(), c**2 * self._value)

   def _lmul_(self, c):
   return LocalizationElement(self.parent(), self._value * c)

sage: S = Localization([2]); S
Integer Ring localized at [2]

sage: s = S(1/2)
sage: r = 5

sage: s*r
LocalElt(5/2)

sage: r*s
LocalElt(25/2)

So it seems that (with R the base of S, r in R and s in S), s*r
returns the value of s._lmul_(r) and r*s returns the value of
s._rmul_(r).

best,
Niles

[1]

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[sage-support] Re: show()ing 3-tuples of matrices as images?

2010-12-13 Thread Marshall Hampton
Very nice, thanks for sharing that!

-Marshall

On Dec 12, 9:26 pm, Dan Drake  wrote:
> On Fri, 10 Dec 2010 at 10:09AM -0800, jvkersch wrote:
> > On Dec 9, 9:57 pm, Dan Drake  wrote:
> > > *facepalm* That was stupid -- matrix_plot() already accepts numpy arrays
> > > of shape (x,y,3) and plots them as a color image exactly the way I want.
> > > No need to mess around with pylab.imshow().
>
> > > Sorry for the noise.
>
> > Actually, your message gave me some good ideas of how to visualize the
> > SVD decomposition in my linear algebra class, so not noise at all :)
>
> Here's a published version:https://sagenb.kaist.ac.kr:8066/home/pub/23
>
> Enjoy.
>
> Dan
>
> --
> ---  Dan Drake
> -  http://mathsci.kaist.ac.kr/~drake
> ---
>
>  signature.asc
> < 1KViewDownload

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Re: [sage-support] Re: New Magma Calculator Interface - magma_free() needs update

2010-12-13 Thread Alexey U. Gudchenko

And is this (see attatched version) is correct now?

Example 1:
> magma_free('P := PolynomialRing(IntegerRing());\nFactorization(x^8
- 1);')

Result is:
[
,
,
,

]

Example 2:
> magma_free("Factorization(9290348092384)")

Result is:
[ <2, 5>, <290323377887, 1>

12.12.2010 18:40, Ugur пишет:
> Hey thanks for the new code. But unfortunately, if I understood
> correctly, the new code just takes the last line of the output :
> ( E.g., compare results of magma_free('[[a,b,c]:a,b,c in [1..20] |
> a^2+b^2 eq c^2 and a le b];') both in Sage and in Magma-Calc. There
> might be another problem, but for the time being, I can report this
> problem.
> 
> On Dec 12, 3:10 am, "Alexey U. Gudchenko"  wrote:
>> 12.12.2010 02:31, Ugur пишет:
>>
>>> As the layout of Magma's website have changed, the code for
>>> magma_free() should be updated. Just want to bring to your attention.
>>
>> I have edit file according new redesign of Magma's  website
>>
>> Sage-4.6.3/local/lib/python2.6/site-packages/sage/interfaces/magma_free.py
>>
>> In atachment there is result.
>>
>> It work for example as in documentation:
>>
>>> print magma_free("Factorization(9290348092384)")
>>
>> [ <2, 5>, <290323377887, 1> ]
>>
>> I don't understand Magma and can't know more difucult examples, so it
>> must be verified !!!
>>
>>  magma_free.py
>> 3KViewDownload
> 

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#*
#   Copyright (C) 2007 William Stein 
#
#  Distributed under the terms of the GNU General Public License (GPL)
#
#This code is distributed in the hope that it will be useful,
#but WITHOUT ANY WARRANTY; without even the implied warranty of
#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#General Public License for more details.
#
#  The full text of the GPL is available at:
#
#  http://www.gnu.org/licenses/
#*

class MagmaExpr(str):
def __repr__(self): 
return str(self)

def magma_free_eval(code, strip=True, columns=0):
"""
Use the free online MAGMA calculator to evaluate the given
input code and return the answer as a string.   

LIMITATIONS: The code must evaluate in at most 20 seconds
and there is a limitation on the amount of RAM.

EXAMPLES:
sage: magma_free("Factorization(9290348092384)")  # optional - internet
[ <2, 5>, <290323377887, 1> ]
"""
import urllib, httplib

server = "magma.maths.usyd.edu.au"
processPath = "/calc/process.xml"
refererPath = "/calc/"
refererUrl = "http://%s%s"; % ( server, refererPath)
code = "SetColumns(%s);\n"%columns + code
params = urllib.urlencode({'input':code})
headers = {"Content-type": "application/x-www-form-urlencoded", "Accept":"Accept: text/html, application/xml, application/xhtml+xml", "Referer": refererUrl}
conn = httplib.HTTPConnection(server)
conn.request("POST", processPath, params, headers)
response = conn.getresponse()
results = response.read()
conn.close()

# Result is in form:
# 
# 
#		
#		 60
# 341657781
# 2.17-1
# 0.320
# 9.53MB
#
#
#[ <2, 5>, <290323377887, 1> ]
#
# 
   
# "Factorization(9290348092384)"
# results = """603416577812.17-10.3209.53MB[ <2, 5>, <290323377887, 1> ]"""

# "P := PolynomialRing(IntegerRing());\nFactorization(x^8 - 1);"
# results = """6037691963792.17-10.2709.53MB[,,,]"""


from xml.dom.minidom import parseString
xmlDoc = parseString(results)

res = u""
# oHeaders =  xmlDoc.getElementsByTagName('headers')   # for version and timing

reslutsNodeList = xmlDoc.getElementsByTagName('results')
if len(reslutsNodeList) > 0:
reslutsNode = reslutsNodeList[0]
lines = reslutsNode.getElementsByTagName('line')
if len(reslutsNodeList) > 0:
for line in lines:
textNode = line.childNodes[0]
res += textNode.data + "\n"

class MagmaExpr(str):
   def __repr__(self): 
  return str(self)
  
return MagmaExpr(res)

class MagmaFree:
"""
Evaluate MAGMA code without requiring that MAGMA be installed
on your computer by using the free online MAGMA calculator.

EXAMPLES:
sage: magma_free("Factorization(9290348092384)")  # optional - internet
[ <2, 5>, <290323377887, 1> ]
"""
def eval(self, x, **kwds):
return magma_free_eval(x)
def __call__(self, code, strip=True, columns=0):
return magma_free_eval(code, st

[sage-support] Re: Having trouble getting *ultra* high precision in this infinite sum calculation...

2010-12-13 Thread Simon King
Hi Chris,

disclaimer: I am no expert in numerics.

On 13 Dez., 07:34, Chris Seberino  wrote:
> Why isn't the error improving as I increase the number of terms that
> are summed?  Am I doing something wrong in Sage?  (Yes it is possible
> that this infinite sum converges unimaginably slowly so I wanted to
> check first I wasn't doing something dumb.)

I think you use a precision that is too small

The summands are of course very small. So, comparing the two results
in a field with 53 digits precision may be pointless:
  sage: sum(10^(-k^2/1.0) for k in range(-2,2)) ==
sum(10^(-k^2/1.0) for k in range(-1,1))
  True

Note that the denominator "1.0" in your exponent belongs to RR,
which by default has 53 digits precision. Let us raise it to 6000:
  sage: d = RealField(6000)(1)
  sage: d.precision()
  6000

Unfortunately, the sums are now taking a very long time to compute.
But we are only interested in their difference.
So, it suffices to do (still taking about one minute):
  sage: 2*sum(10^(-k^2/d) for k in range(1,2))
  2.02019722722490674759723772962542922944721452394745083...e-1

So there is a small progress in the summation! But I have no idea
whether at the end of the day the small progress will be enough to
cover the big difference -1.27897692436818e-13 to your theoretical
result.

Cheers,
Simon

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