My description was a little compressed, so i had to clean up the code to 
match my description again ...
The code is available here: http://pastebin.com/MMW3B88h
I hope its readable for you.



Am Donnerstag, 9. Juni 2016 20:24:35 UTC+2 schrieb Jason Moore:
>
> Can you please share the code so we can see what you are doing?
>
>
> Jason
> moorepants.info
> +01 530-601-9791
>
> On Wed, Jun 8, 2016 at 11:58 PM, <[email protected] <javascript:>> 
> wrote:
>
>> I am trying to solve a system of equations with sympy that arises from a 
>> constraint of the form:
>>
>>   (A x B) x C = D
>>
>> where
>>
>> * A, B, C and D are 3x3 matrices
>> * the diagonal of D should be zero
>> * B is a "rigid motion 2D" transformation, with elements cos(phi), 
>> +-sin(phi), x and y
>> * A and C are fully filled with (supposedly known) values
>> * I want to solve for phi, x and y
>>
>> This gives me four equations:
>>
>> * one for each diagonal element in D
>> * one additional (quadratic) equation sin^2(phi) + cos^2(phi) = 1
>>
>> When feeding those to equations directly to sympy, this takes some hours 
>> and then breaks with an out of memory message.
>>
>> My next approach was to help sympy by guiding the solution step by step 
>> (*).
>>
>> * First i took two of the linear equations and let sympy solve for x and 
>> y (works great)
>> * Instead of having cos(phi) and sin(phi) in the B matrix, i introduced 
>> new symbols cosphi and sinphi
>> * Then i took the resulting expressions for x and y, and solve with the 
>> third linear equation for the cosphi element (works too)
>> * Finally i tried to solve the quadratic equation for sinphi by inserting 
>> the just gathered cosphi expression
>> * The last step was not feasible without transforming the expression to a 
>> polynom in sinphi and by replacing all coefficient expressions by new 
>> symbols, then it worked
>>
>> The resulting expressions for x, y and phi (written as python 
>> expressions) are about 3 MB (!) of text.
>>
>> This does not seem to be adequate to the problem, and when converting to 
>> a theano function i get "maximum recursion depth exceeded".
>> When i look at the expressions they are very repetitive, so i tried CSE, 
>> which brings it down to about 30 KB, but they are still very repetitive and 
>> full of patterns.
>>
>> I suspect that the resulting expressions actually just perform some 
>> matrix operations, so probably there would be an efficient way to compute 
>> the solution if only one could get back to matrix expressions.
>> I tried to guess what the appropriate matrix operations are, but without 
>> success (**). And this feels of course very wrong and backwards.
>>
>> Is there some obvious approach to such problems that i missed? Is the 
>> problem actually that hard?
>>
>> I am aiming for a mostly automated solution process without steps like 
>> (*) and (**), because i have a hand full of very similar problems ahead ...
>> Any hint appreciated!
>>
>> -- 
>> Best regards
>> Janosch
>>
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