Great! There seems to have been some kind of git problem so that the
changes in the PR are not as intended though...
I left a comment at the PR:
https://github.com/sympy/sympy/pull/21673
Let's continue the discussion there.
Oscar
On Sun, 27 Jun 2021 at 19:49, אוריאל מליחי wrote:
>
> ok.
>
ok.
I made a pull request for the linear programing solver and I did not add
the inequalities functions in the commit for now.
The pull request number is #21673
waiting for your aproval/corrections.
thank you!
On Sunday, 20 June 2021 at 22:33:16 UTC+3 Oscar wrote:
> Okay, that code looks good.
Okay, that code looks good. It will also need docs and tests.
I suggest first trying to add the smallest part of this to sympy. Then
other parts can be added one step at a time.
The question is what is the smallest part that is useful on its own.
Is that the simplex function?
If you open a pull
Yes, my code is viewable in here-
https://github.com/orielmalihi/Final-Project/blob/main/my%20functions/inequalities%20functions.py
On Friday, 18 June 2021 at 00:09:11 UTC+3 Oscar wrote:
> That's great. I suggest not trying to add everything at once. Probably
> some changes will need to be made
That's great. I suggest not trying to add everything at once. Probably some
changes will need to be made and there are other steps like tests and so on
that would need to be added if there aren't already tests in the right
format.
Is your code publicly viewable already? For example if you put it i
Hello everyone!
I finally completed implementing these functions.
*Quick reminder:* The main function is called *is_implied_by* and it gets a
set of linear inequalities and a target linear inequality and return
whether the target is implied by the set or not.
Two other functions are *find_v
Den tors 18 feb. 2021 kl 14:36 skrev Oscar Benjamin <
oscar.j.benja...@gmail.com>:
> On Thu, 18 Feb 2021 at 11:32, Oscar Gustafsson
> wrote:
> >
> > After currently using Mathematica for similar things, I would just like
> to encourage you to provide some nice method to simplify constraints of
>
On Thu, 18 Feb 2021 at 11:32, Oscar Gustafsson
wrote:
>
> After currently using Mathematica for similar things, I would just like to
> encourage you to provide some nice method to simplify constraints of
> piecewise functions using your simplifier, including additional constraints
> on the rang
After currently using Mathematica for similar things, I would just like to
encourage you to provide some nice method to simplify constraints of
piecewise functions using your simplifier, including additional constraints
on the range of variables (as SymPy doesn't have a way to put ranges on
variabl
I understand.
So I would use the LP solver implemented by Lee which should work with
symbolic coefficients.
On Thu, 18 Feb 2021 at 00:46, Oscar Benjamin
wrote:
> On Tue, 16 Feb 2021 at 17:01, אוריאל מליחי
> wrote:
> >
> > For your first question, I intend to create a new function that whe
On Tue, 16 Feb 2021 at 17:01, אוריאל מליחי wrote:
>
> For your first question, I intend to create a new function that when given a
> set of linear inequalities and a target inequality it would output True if
> the target is implied by this set, False if it is not, and Unknown otherwise.
>
Thank you Lee for your quick reply.
I will recheck it.
בתאריך יום ג׳, 16 בפבר׳ 2021, 19:36, מאת S.Y. Lee :
> SciPy's implementation is to minimize c^{T} x while my implementation is
> to maximize c^{T} x
> I verified that it gives same result result with scipy when I changed the
> problem to mi
SciPy's implementation is to minimize c^{T} x while my implementation is to
maximize c^{T} x
I verified that it gives same result result with scipy when I changed the
problem to minimize -c^{T} x
I have given a brief documentation about how to use in the comment, but not
in the docstring, beca
Hey Oscar,
sorry for the late reply, I was overloaded with exams.
For your first question, I intend to create a new function that when given
a set of linear inequalities and a target inequality it would output True
if the target is implied by this set, False if it is not, and Unknown
otherwise. I
I have a full implementation of linear programming
in https://github.com/sympy/sympy/issues/20391
Although if you may or may not want the code, I hope it can reduce any
duplicate efforts if you were intending to implement the same method.
On Thursday, December 31, 2020 at 5:58:55 AM UTC+9 Oscar
On Wed, 30 Dec 2020 at 19:47, אוריאל מליחי wrote:
>
> > Okay, well if you want this to be included in sympy I suggest to begin.
> > by making some specific proposals either here or in github issues. We
> > should agree the basic ideas before too much work is done. Of course
> > you don't have
> Okay, well if you want this to be included in sympy I suggest to begin.
> by making some specific proposals either here or in github issues. We
> should agree the basic ideas before too much work is done. Of course
> you don't have to implement all the proposals but we should agree what
> makes s
Okay, well if you want this to be included in sympy I suggest to begin
by making some specific proposals either here or in github issues. We
should agree the basic ideas before too much work is done. Of course
you don't have to implement all the proposals but we should agree what
makes sense as par
Thank you all for your advices.
and Oscar, for your question- yes, i do intend
for this to be incorporated as part of sympy if it is possible.
On Sunday, 27 December 2020 at 23:57:20 UTC+2 Oscar wrote:
> On Sun, 27 Dec 2020 at 10:46, אוריאל מליחי
> wrote:
> >
> > Hello everyone!
>
> Hi,
>
On Sun, 27 Dec 2020 at 10:46, אוריאל מליחי wrote:
>
> Hello everyone!
Hi,
> As part of my final project in my computer science degree I would like to
> develop a class for linear inequalities simplifying.
That sounds like an excellent project. To be clear, are you intending
for this to be
Hello everyone!
As part of my final project in my computer science degree I would like to
develop a class for linear inequalities simplifying. The class's main
algorithm is that for given a set of linear inequalities in m variables, it
returns a simplified set. "Simplified" may mean an equiva
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