Currently I use the following code to calculate the Kretschmann scalar kr
of my metric g:
R=g.Riemann();
uR=R.up(g)
dR=R.down(g)
kr=uR['^{abcd}']*dR['_{abcd}']
It works, but it consumes a lot of memory: is there a more memory efficient
way to calculate the Kretschamann scalar?
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Thank you, Jan, I'll use CoCalc.
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Hi
On Sun, 29 Dec 2019 at 15:54, Szabolcs Sződi wrote:
There is something simply step by step instruction for simply, ordinary
mortals? Couldn't find anything.
In SageMath Cell type
notebook()
Regards,
Jan
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.~.
/V\ Jan Groenewald
/( )\www.aims.ac.za
^^-^^
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Thank you Jan!
Your answer is helpful, but not me. I'm not programmer only a user. I
worked with maple, but SageManifold is seem better. I tried the next ones:
1. open SageMath
2. open SageMath Shell
3. wrote Jupyter terminal: "user@host:~$ sage -n jupyter" (user? my name?
need Jupyter log in? Gi
Hi
On Sun, 29 Dec 2019 at 13:47, Szabolcs Sződi wrote:
> Hi dear Somebody!
>
> I wrote "sage -n jupyter" comman on Jupyler nootbook interface, but not
> working.
>
> This is the answer:
>
> File "", line 1
>
> sage -n jupyter
> ^SyntaxError: invalid syntax
>
>
You should
Hi dear Somebody!
I wrote "sage -n jupyter" comman on Jupyler nootbook interface, but not
working.
This is the answer:
File "", line 1
sage -n jupyter
^SyntaxError: invalid syntax
Please, help. Thank you. Kugli
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