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 Nov10 awarded Popular Question Jul2 awarded Curious May19 comment How to re-parametrize for quadratic minimization? ok...will follow these rules.... May19 awarded Caucus May10 accepted How to re-parametrize for quadratic minimization? May10 revised How to re-parametrize for quadratic minimization? added 121 characters in body May10 asked How to re-parametrize for quadratic minimization? May2 accepted Optimal rotation to align a circle with external points May1 comment Optimal rotation to align a circle with external points @gt6989b ok. i now understand ur view point. that's true. May1 comment Optimal rotation to align a circle with external points @gt6989b Maybe related, but are 'different' questions altogether ;) May1 comment Angular alignment of points on two concentric circles Wonderful. I like the way you used the polar coordinates and the Euler representations. You may wanna look at this as well, math.stackexchange.com/questions/378662/… as it may interest you! May1 asked Optimal rotation to align a circle with external points May1 accepted Angular alignment of points on two concentric circles May1 revised Angular alignment of points on two concentric circles added 7 characters in body May1 revised Angular alignment of points on two concentric circles added 1 characters in body May1 revised Angular alignment of points on two concentric circles edited tags May1 asked Angular alignment of points on two concentric circles Apr24 comment How to sample uniformly from an $\epsilon$ ball? @NateEldredge Your answer over here math.stackexchange.com/questions/87230/… helps me out! Apr23 comment How to sample uniformly from an $\epsilon$ ball? @Mike I tried your answer and after the multiplication with the radius, the sphere is centered around zero, I guess the sphere has to also be translated to the required center which would be the vectorized matrix X Apr23 comment How to sample uniformly from an $\epsilon$ ball? This is like Rejection sampling, and you are right, the expected number of trials required would grow to be very large/intractable