Yuxiang Wang wrote
Well, I guess I am not Eric but I did started this whole conversation :)
Question: if your Jacobian is numerically computed (as done automatically by the minimize() function), shouldn't it be already normalized, if we already normalized the independent variable being passed into?
Shawn
On Sat, Apr 25, 2015 at 2:02 AM, cjaramillo <
cjaramillo@.cuny
> wrote:
Hi, Eric.
I have a problem with my Jacobian matrices being non-homogeneous due to being derived from variables of different units, such as when combining rotation and translation parameters. Besides scaling the initial value by a factor, do you have an example of how to scale down the pertaining Jacobian matrices?
Thanks I advance!
Carlos
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I'm providing the Jacobian functions to be used in the optimization. It's faster this way. I found a couple of articles doing some normalization of Jacobian matrices of non-homogeneous parameters. Any examples with scipy woukd be appreciated. I'm trying to grasp the normalization methos for the Jacobian and they seem to be a simple diagonal matrix multiplication. -- View this message in context: http://scipy-user.10969.n7.nabble.com/SciPy-User-Normalization-for-optimizat... Sent from the Scipy-User mailing list archive at Nabble.com.