On Apr 9, 2010, at 10:53 AM, Leo Maloney wrote:
I'm trying to compute the inverse of a 5000 x 5000 sparse matrix.
What is the basering?
I'm getting an EOF error after it runs for about 5 hours, and then it
states that sage is trying to access unallocated memory. Is there a
way I can
Leo Maloney wrote:
I'm trying to compute the inverse of a 5000 x 5000 sparse matrix. I'm
getting an EOF error after it runs for about 5 hours, and then it
states that sage is trying to access unallocated memory. Is there a
way I can increase the memory for this computation? Every time I
My Matrix consists of zeros ones, and -1/9s, so I was intially
computing it over Q. I'm trying to re-run the program over R in hopes
that it will use approximations rather than try to explicitly state
the fractions. I am using a Macintosh OSX with 4 gigs of ram, it
seems that this should be
On Friday, April 9, 2010, Leo Maloney leo.b.malo...@gmail.com wrote:
My Matrix consists of zeros ones, and -1/9s, so I was intially
computing it over Q. I'm trying to re-run the program over R in hopes
that it will use approximations rather than try to explicitly state
the fractions. I am
Hi,
I did
sage: var('t R_u c')
(t, R_u, c)
sage: R_b = function('R_b', t)
sage: psi = function('psi', t)
sage: m_z = function('m_z', t)
sage: r(t) = R_b(t) * sin(psi(t))
snip DeprecationWarning snip
sage: z(t) = R_b(t) * cos(psi(t)) + m_z(t)
sage: Dr = r.diff(t)
sage: Dz = z.diff(t)
sage:
For example,
var('t R_u c')
map(function,('R_b', 'psi', 'm_z'))
r = R_b(t)*sin(psi(t))
z = R_b(t)*cos(psi(t))+m_z(t)
Dr, Dz = r.diff(t), z.diff(t)
v=vector([Dr,Dz]) * vector([cos(psi(t)),sin(psi(t))])
w=v.simplify_trig()
w.substitute_function(m_z,lambda t:-sqrt(R_b(t)^2-R_u^2))
On Apr 9, 1:53 pm, Leo Maloney leo.b.malo...@gmail.com wrote:
I'm trying to compute the inverse of a 5000 x 5000 sparse matrix. I'm
getting an EOF error after it runs for about 5 hours, and then it
states that sage is trying to access unallocated memory. Is there a
way I can increase the
On Friday, April 9, 2010, Alec Mihailovs alec.mihail...@gmail.com wrote:
On Apr 9, 1:53 pm, Leo Maloney leo.b.malo...@gmail.com wrote:
I'm trying to compute the inverse of a 5000 x 5000 sparse matrix. I'm
getting an EOF error after it runs for about 5 hours, and then it
states that sage is
On Apr 9, 8:59 pm, William Stein wst...@gmail.com wrote:
A 5000x5000 matrix just isn't really that big, IMHO...
That's true - should work in just few seconds - I meant REALLY big
matrices - actually, sometimes such a thing should work faster even
for not that big matrices - in case if the
On Apr 9, 8:59 pm, William Stein wst...@gmail.com wrote:
A 5000x5000 matrix just isn't really that big, IMHO...
Actially, thinking about that, who knows what size its elements could
be, if they are rational... They may be really big.
Alec
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Can anyone tell me if there's a way to find the eigenvectors of
this matrix in sage?
sage: M=matrix([[1,1+i],[1-i,-1]])
sage: M=M/sqrt(3)
sage: M
[ 1/3*sqrt(3) (1/3*I + 1/3)*sqrt(3)]
[-(1/3*I + 1/3)*sqrt(3) -1/3*sqrt(3)]
sage: M^2
[1 0]
[0 1]
sage: M.eigenvalues()
[-1, 1]
For M, you could do something like
M=matrix([[1,1+i],[1-i,-1]])/sqrt(3)
html.table(maxima(M).eigenvectors().sage())
or
html.table([[r,(M-matrix(2,2,r)).right_kernel().basis_matrix()] for r
in M.eigenvalues()])
And numerically the eigenvectors could be found as
Alec Mihailovs a écrit :
On Apr 9, 8:59 pm, William Stein wst...@gmail.com wrote:
A 5000x5000 matrix just isn't really that big, IMHO...
That's true - should work in just few seconds - I meant REALLY big
matrices - actually, sometimes such a thing should work faster even
for not that big
Hi all,
I realize this maybe a bit of an insane question, but I'm looking for a way
to use ecl within sage besides:
./sage -ecl
I have googled for relevant results, but documentation on
sage.interfaces.lisp seems broken right now:
On Apr 10, 1:32 am, Adam Getchell adam.getch...@gmail.com wrote:
Hi all,
I realize this maybe a bit of an insane question, but I'm looking for a way
to use ecl within sage besides:
./sage -ecl
For example,
lisp((def x 1)(defun f (x)(+ x 1))(f 2))
3
Alec Mihailovs
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