>From the documentation at
https://www.mathworks.com/help/matlab/ref/mldivide.html, it appears to me
that MATLAB gives a warning: "Warning: Matrix is close to singular or badly
scaled. Results may be inaccurate." That seems to me to be a better
default behavior than what sage is doing now, but
On 5/22/20 6:40 PM, AlexGhitza wrote:
> I would also argue that, despite the validity of the arguments regarding
> inexact rings, this is a change in behavior that would have benefited
> from a deprecation warning for a short while.
We were pretty careful not to break anything in the sage library.
Le samedi 23 mai 2020 02:14:58 UTC+2, Dima:
>
> Conda does have Sagemath available.
> Not 100% sure how it works on Windows, though.
One can install SageMath from Conda on Linux and macOS.
Not on Windows.
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On Fri, May 22, 2020 at 04:07:47PM -0700, Jonathan wrote:
> Emmanuel,
>
> Thanks, that is one of the places I was starting. It turns out that doesn't
> quite pick up the necessary stuff from the `Expr` type. I have had better
> luck extending the base type `Expr`. It was not hard to get the ari
Emmanuel,
Thanks, that is one of the places I was starting. It turns out that doesn't
quite pick up the necessary stuff from the `Expr` type. I have had better
luck extending the base type `Expr`. It was not hard to get the arithmetic
parts (+, -, /,*, pow) working. I'm still looking for/worki
Hi,
I have two questions regarding the implementation of multivariate power
series is Sage.
I was wondering if Weierstrass Preparation Theorem and Hensel Lemma ( which
use multivariate power series) have been implemented in Sage.
About the implementation of multivariate power series (which use
Hi,
On Saturday, May 23, 2020 at 3:55:06 AM UTC+10, Michael Orlitzky wrote:
>
>
> This was changed to "do what MATLAB does" because of the numerical
> issues inherent to inexact rings. While
>
> m = matrix(SR, [0])
>
> is singular and the system `m*x == [1]` has no solutions, with
>
> m =
On 5/22/20 3:39 PM, Nils Bruin wrote:
> I think this might need some work:
>
> S=RealBallField(100)
> M=Matrix(S,2,1,[1,1])
> M.solve_right(vector([1,2]))
>
> There's enough information here to conclude there is no solution; or in
> a rather deranged way, perhaps it should give a rather large bal
On Thursday, May 21, 2020 at 10:04:26 AM UTC-7, Matthias Koeppe wrote:
>
> The Global Virtual SageDays 109 will be held on May 28, 2020 (all
> timezones).
>
> I have updated https://wiki.sagemath.org/days109 and created the stream
> #sd109 on https://zulip.sagemath.org/
>
>
> People interested in
I think this might need some work:
S=RealBallField(100)
M=Matrix(S,2,1,[1,1])
M.solve_right(vector([1,2]))
There's enough information here to conclude there is no solution; or in a
rather deranged way, perhaps it should give a rather large ball back so
that the multiplication results in a ve
On 5/21/20 8:44 PM, AlexGhitza wrote:
> Hi,
>
> I'm observing the following with version 9.1 (but not with 9.0 where the
> behavior is correct):
>
> sage: m = matrix(SR, [0])
> sage: b = vector([1])
> sage: m.solve_right(b)
> (0)
>
> This should of course raise
>
> ValueError: matrix equation h
Well, you might consider working on the expressions -. A quick test with Sympy:
Python 3.8.3 (default, May 14 2020, 11:03:12)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> python.el: native completion setup loaded
>>> from sympy import *
>>> p,V,
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