Hi Bastian,
Thanks for your reply.
I would like to have the final function
in a symbolic way and later do evalf. But, the
trigsimp with deep and recursive options set
to true, did not yield the simplified form.
I am not sure how the trigonometry relations
are handled.
Earlier, I have tried with inverse_ADJ() which
keeps it slow, but with only inv it is faster.
Thanks
Viswanath.
On Jun 25, 2:40 pm, Bastian Weber <[email protected]>
wrote:
> Hello Morovia,
>
> in my understanding you do not need to use symbolic calculation, do you?
> I mean, if your final result is a 3x3-Matrix with numerical values you
> could carry out the whole calculation numerically, i.e. by applying
> evalf already to R(a,b,c).
>
> But maybe I missed some thing...
>
> Regards,
> Bastian.
>
> morovia morovia wrote:
> > Hello,
>
> > I have just started to use sympy.
>
> > I am trying to use euler rotation matrix
> > R(a, b, g) to transform a tensor (say, T_p
> > 3x3 matrix) from its principal frame of
> > reference to lab frame of reference.
>
> >http://en.wikipedia.org/wiki/Euler_angles
>
> > basically doing,
>
> > T_lf = R(a,b,g) * T_p * R(a,b,g).inv()
>
> > I need to simplify the resultant matrix
> > T_lf using trignometry relations and
> > also evaluate the elements.
>
> > When I just tried to do,
>
> > T_lf.evalf(),
>
> > it takes forever to carry out the operations.
>
> > I have tried converting the T_lf into a list
> > and used a for loop to carry out,
>
> > trisimp(T_lf[i][j]).evalf()
>
> > But still it is very slow.
>
> > Kindly let me know the proper way to
> > carry out the operations on individual
> > matrix elements which needs to be
> > simplified and evaluated.
>
> > Thanks in advance
> > Morovia.
>
>
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