2022-10-15 13:29:47 +0200 received badge ● Notable Question (source) 2020-03-29 07:54:13 +0200 answered a question passing function to a function never mind.. I figure this out. def test(f): show(plot(f)) test(x+1)  2020-03-29 07:40:17 +0200 received badge ● Editor (source) 2020-03-29 07:38:23 +0200 asked a question passing function to a function Would any body please help in making following work? def test(f): plot(f) test(x+1)  2019-07-17 10:03:39 +0200 received badge ● Scholar (source) 2019-07-17 10:03:20 +0200 received badge ● Supporter (source) 2019-07-16 02:50:04 +0200 received badge ● Popular Question (source) 2019-07-16 02:49:00 +0200 asked a question make sage use \dfrac instead of \frac For example: Is it possible to make latex( (2*x+3) / (2*x) ) return \dfrac{2 \, x + 3}{2 \, x} instead of \frac{2 \, x + 3}{2 \, x} ? 2016-01-28 13:14:29 +0200 commented answer How to define finite difference approximation for first order derivative $y_{k+1}$ and $y_k$ needs to remain unknown till the formation of equation, so that they can act as variables in the linear system. My interest is to automate the finite difference method in sage. Should I need to define some new data structure. Thanks for responding though!!! 2016-01-26 03:00:58 +0200 received badge ● Student (source) 2016-01-26 02:59:11 +0200 asked a question How to define finite difference approximation for first order derivative I need to define $$y1(k)=\frac{y_{k+1}-y_{k-1}}{2*h}$$ in sage so that sage can differ between symbolic $$y_{k+1}$$ and $$y_{k}$$. Would somebody please help?