Dear Sympy list,
I'm trying to evaluate a numerical dispersion relation for a finite
element method we are working on, which requires construction of a 4x4
Hermitian matrix A which is a function of l,k,w, and evaluation of
it's determinant. This gives a quartic polynomial which can be solved
for
On Jun 29, 3:31 pm, Colin wrote:
> Dear Sympy list,
> I'm trying to evaluate a numerical dispersion relation for a finite
> element method we are working on, which requires construction of a 4x4
> Hermitian matrix A which is a function of l,k,w, and evaluation of
> it's determinant. This gives
Dear Sympy list (sorry for deluge!),
I'm getting some unexpected (to me) behaviour from evalf() - please
see the bottom of my email. Is this a) incorrect expectations, b)
incorrect usage, c) known bug, or d) something else?
all the best
--cjc
In [108]: k = Symbol('k')
In [109]: w = Symbol('w')
On Tue, Jun 29, 2010 at 12:31 PM, Colin wrote:
> Dear Sympy list,
> I'm trying to evaluate a numerical dispersion relation for a finite
> element method we are working on, which requires construction of a 4x4
> Hermitian matrix A which is a function of l,k,w, and evaluation of
> it's determinant.
On 29 June, 12:40, Colin wrote:
> Dear Sympy list (sorry for deluge!),
> I'm getting some unexpected (to me) behaviour from evalf() - please
> see the bottom of my email. Is this a) incorrect expectations, b)
> incorrect usage, c) known bug, or d) something else?
Ah sorry, I went to the mailing
On Tue, Jun 29, 2010 at 1:43 PM, Colin wrote:
> On 29 June, 12:40, Colin wrote:
>> Dear Sympy list (sorry for deluge!),
>> I'm getting some unexpected (to me) behaviour from evalf() - please
>> see the bottom of my email. Is this a) incorrect expectations, b)
>> incorrect usage, c) known bug, o
> So it finished in about 11s. How long does it take for you?
About the same, I'm pretty impressed with the performance on this
calculation.
> But I don't know how to simplify this. In my experience, if you need
> to invert some matrices, different methods give different results, I
> think reason
There are different methods for finding the determinant too. See the docstring
of the .det() method.
Aaron Meurer
On Jun 29, 2010, at 7:49 AM, Colin wrote:
>> So it finished in about 11s. How long does it take for you?
>
> About the same, I'm pretty impressed with the performance on this
> cal
I'm making a manual equation solver, where my students have to
manually apply algebra rules in order to simplify and solve problems.
The problem is that, for some subjects, I want that the expression
x1 = Symbol('x1')
b = x1 + x1
remainx x1 + x1 and not became 2*x1...
is it possibile in sympy?
With a little trickery, yes.
A normal evaluate=False does not help in this case, otherwise
Mul(x,x,evaluate=False) might work. Perhaps issue 1966 could fix this.
But in the meantime, realizing that variables with distinct
assumptions are distinct variables you can create two variables with
the sam
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