Timeline for Program to compute partial derivatives
Current License: CC BY-SA 2.5
11 events
when toggle format | what | by | license | comment | |
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Jul 8, 2011 at 20:37 | answer | added | user5268 | timeline score: 1 | |
Mar 14, 2011 at 15:41 | comment | added | chl | @posdef And there's sympy for Python. | |
Mar 14, 2011 at 15:04 | comment | added | posdef | @whuber: cool, I didn't know that. thanks :) | |
Mar 14, 2011 at 14:59 | comment | added | whuber♦ | @posdef Matlab performs symbolic differentiation: mathworks.com/help/toolbox/symbolic/brvfu8o-1.html#brvfxct | |
Mar 14, 2011 at 10:00 | comment | added | posdef | @whuber: as far as I know, MATLAB is not symbolic. Perhaps you meant Maple? | |
Mar 14, 2011 at 9:10 | answer | added | mpiktas | timeline score: 6 | |
Mar 14, 2011 at 3:05 | answer | added | Gilead | timeline score: 7 | |
Mar 13, 2011 at 20:10 | history | edited | whuber♦ | CC BY-SA 2.5 |
edited title
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Mar 13, 2011 at 18:14 | comment | added | whuber♦ | Because $\lambda$ and $\mu$ are Lagrange multipliers, it's trivial to find derivatives with respect to them. How do you anticipate the functional form of $L$ changing so that the derivatives with respect to the $w_i$ -- which currently are dead simple to compute -- will become complicated? // Anyway, any symbolic mathematics program should be able to do the job well: MatLab, Mathematica, etc. | |
Mar 13, 2011 at 18:12 | history | edited | whuber♦ | CC BY-SA 2.5 |
added 12 characters in body
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Mar 13, 2011 at 17:25 | history | asked | hhh | CC BY-SA 2.5 |