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The page https://sagemanifolds.obspm.fr/examples.html has some examples on geodesics.

Do you see any errors? Please try the following simple code: var('x,y') p=plot3d(x^2 + y^2, (-2,2), (-2,2)) p.show()

Also, check the following: def dependentpart(f, val): terms = f.operands() mypart = sum(item for item in terms

The following is a way to get the parts for a given variable: def dependentpart(f, val): terms = f.operands() m

Is there a way to find, for example, f_x1=10*x1+5*x1^2 for the following f? f = 10*x1 + 20*x2 + 10*y1 + 10*y2 + 5*x1^2

I'm not sure if the repo version of SageMath is the latest. In order to have the latest version easily, I recommend you

The following code solves your equation numerically (with 4th order Runge-Kutta method) for y(0)=0.5 and plots the solut

The following code solves your equation numerically (with 4th order Runge-Kutta method) for y(0)=0.5 and plots the solut

If all of the elements of your metric are nonzero and strictly depend on each coordinate, then the Riemann tensor calcul

Try to give the metric in a closed form as much as you can: For example, use a function f(t,x) instead of $t^3+xt+x^2$.

Try to give the metric in a closed form as much as you can: Use functions like f(t,x) instead of $t^3+xt+x^2$.

Try to give the metric in a closed form as much as you can: Use functions like f(t,x) instead of $t^3+x*t+x^2$.

I could not reproduce the warnings as I didn't compile the code but maybe you can try with a SageMath installation on it

Dear Eric, is it possible for you to add a minimal code that would allow us to reproduce the warnings?

Dear Eric, is it possible for you to add a minimal code that would allow us to reproduce the error?

canonicalize_radical() seems to produce better results.

Does the error persist when you run only the following code in a new Jupyter session? (with no other prior code parts, j

As far as I'm concerned, graphics_array is implemented only for 2D plots. Using the reply of @niles at https://ask.sagem

Not a SageMath way but you can try some Python libraries (and you can use them directly in SageMath): https://mpmath.org

Please try this: v=vector([1,2,3]) show(v.column())

Does "show" suit your needs?: m=matrix([[1,2,3],[4,5,6]]) show(m)

Dear @AKGSage, if you are still interested, our very recent package (with our special thanks to @eric_g) https://pypi.or

version() command produces 'SageMath version 10.2, Release Date: 2023-12-03'

Did you try to use any simplification methods in your code? Like this one: var('n') (factorial(n+1)/factorial(n)).simpl

I recommend installing using WSL but with conda/mamba as instructed on the website of SageMath. Then you will have the l

I recommend installing using WSL but with conda/mamba as instructed on the website of SageMath.

I do not know if this helps in your case but you can check if the difference of the left hand side and the right hand si

I do not know if this helps in your case but you can check if the difference of the left hand side and the right hand si

Eric, this is great! I have missed that notebook. I will contribute soon.

I think it is not implemented in SageMath yet. However, you can use https://www.wolframcloud.com/ with the free basic pl

Do you need something like the following? def f_k(k): return 2^gcd(4,k) * 3^gcd(2,k) print(f_k(720))

The best way to operate SageMath on Windows is WSL but I am not sure if Win7 has that feature. So, please try with the f

You can use Python modules in Sagemath. What about the following solution? import numpy as np A = matrix(QQ, 3, [2, -1

Mapping the function to the matrix can be useful: A = matrix([[0.1,0.2],[0.3,0.4]]) matsin(x)=sin(x) matlog(x)=log(x) p

If you change the limits, you can see the roots: show(plot(pow(x,3) - 2*pow(x, 2) - 5 * x + 6, -5, 5))

e493 means 10^493. Use show(SubstituteNumericalApprox(digits=3)(y)) to see it better.

from sage.symbolic.expression_conversions import ExpressionTreeWalker class SubstituteNumericalApprox(ExpressionTre