Thanks very much, the paper is quite helpful. On Thursday, November 9, 2017 at 10:54:10 PM UTC+5, rjf wrote: > > > Asking for suggestions from the person(s) who will have to approve > the result is always a good idea. > > > I looked around some more for applications of matrix calculus, and > do not see much evidence regarding my initial evaluation. There > seem to be some optimization and machine learning chat about > this, but most relevant computations seem easy to do with mapping > derivative functions over matrices. If I've missed some deep and > interesting uses and programs, and places where people were > searching for programs to do such stuff as proposed in the wikipedia > article -- my apologies. > > > If you want to carry on more symbolic stuff, there's plenty to do, > I think. > > Here's a discussion of symbolic matrices that I wrote some time ago-- > https://people.eecs.berkeley.edu/~fateman/papers/symmat2.pdf > > It includes some survey-ish stuff, and some programs. A simple > symbolic question: can you prove that transpose(transpose(A)) is > equal to A, knowing that A is nXm but where n, m are > unknown objects but assumed to be positive integers? > > RJF > actually, not a fan of coffee :) > > > > > > On Wednesday, November 8, 2017 at 11:52:14 PM UTC-8, mforets wrote: >> >> Hello, >> also here's an open thread for symbolic support for matrices in the sympy >> project: https://github.com/sympy/sympy/issues/5858 >> Hence, seems to me that the answer to your (i) is "no". >> I also found this interesting: >> http://www.matrixcalculus.org/matrixCalculus and >> http://www.math.uwaterloo.ca/~hwolkowi//matrixcookbook.pdf >> >> For (ii) and (iii), since your motivation is your university degree >> (getting credits and such), have you asked your local professor(s) for >> orientation? Then, I'm certain that here / on sympy you can find motivated >> "mentors" for your project (similarly to the successful GSOC -google summer >> of code- thing, right?). >> >> >> El jueves, 9 de noviembre de 2017, 7:51:53 (UTC+1), Ralf Stephan escribió: >>> >>> Hello, >>> Sage's symbolic support for matrices is limited. However, Sage contains >>> packages that may be used instead, like SymPy. For their matrix expression >>> / equation solving capabilities see >>> http://docs.sympy.org/latest/modules/matrices/expressions.html >>> >>> http://docs.sympy.org/latest/modules/matrices/expressions.html#block-matrices >>> >>> Regards, >>> >>> PS please excuse rjf, he sometimes has probably had too much coffee >>> >> >>
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