Importing Results from Symbolic Toolbox to Matlab
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I recently updated my installation of Matlab from 2010a to 2012a. I have a fairly large program that I developed to calculate/plot the results of the research I am doing in tire modeling. Due to the precision needed to calculate the results, I have to do the majority of calculations in the Symbolic Toolbox and import the results to Matlab. When I run the program from MuPad, I get the following results:
thetaS = 0.2009477451
thetaL = 0.1745329252
lambda = 0.001609149705
delta = 0.004816291818
L = 0.1149593055
F = 820.2820398
However, when I run the same program with the same inputs from Matlab 2012a and import the results, I get the following results:
thetaS = 0
thetaL = 0.17453
lambda = 0.001381587043
delta = -0.00217123178
L = 0.1149747052
F = 172.866371
When I run the exact same program with the exact same input in Matlab 2010a, I get the same results that MuPad gives.
The value of the last four results above are calculated by solving a linear system of equations with input values of thetaL and thetaS. The value of thetaS is found by solving that system of equations with various values of thetaS until certain requirements are met. One of those requirements is that thetaS be between thetaL and some value greater than thetaL. Therefore, it seems as though Matlab 2012a is somehow setting thetaS equal to zero and solving the system of equations, disregarding the fact that the requirements are not being met. This seems quite illogical to me.
My question is what changed between release 2010a and 2012a that could be causing this? I have looked through the release notes published online and could not find anything that looked like it might have caused it. Is there other changes listed somewhere that might give me a clue to what happened? I am currently upgrading to 2012b to see if the problem has been fixed in that release.
If there is any other information I can provide I will do my best to provide it. Just let me know.
Thanks in advance!
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Edit: I have just observed the same behavior noted in Matlab 2012a in Matlab 2012b. That is to say, the same results are produced.
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