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#1
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Re: An improvement to OPR
I'm not sure how this is an improvement; your code might be more concise but only if you're working with a computational package like MATLAB.
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#2
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Re: An improvement to OPR
It's only an improvement so far as it's more data than most teams usually compute, and it should be computationally faster than a pair of OPR calculations. Hypothetically, let's say that OPR is a O(N^3) operation, with this method it's N^3 to find auton and teleop rather than 2(N^3).
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#3
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Re: An improvement to OPR
Quote:
In the formula for OPR, namely [A][OPR]~[SCORE], [OPR] and [SCORE] need not be vectors - they can be matrices. So instead of [OPR] being a Nx1 column vector, it can be an Nx2 matrix... and [SCORE] can be a (2M)x2 matrix. The first column of [OPR] and [SCORE] can then be for TeleOp, and the second column for Autonomous. This can be extended to any desired number of columns. For example use 4 columns for TeleOp, Autonomous, Climb, and Foul points. Adding extra columns to [OPR] and [SCORE] increases the computation time only minimally, since the lion's share of the computation is spent factoring [A]T[A]. Last edited by Ether : 10-05-2013 at 10:13. |
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#4
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Re: An improvement to OPR
Quote:
)Other than that, it's a cool idea and would be a fun way to team the concept to new students around that level. In terms of data though, I don't know that it brings something new. It'd actually complicate my work to do it that way, because the matrix case Ether describes allows the simultaneous calculation of endgame OPR by the same method (i.e. it's not limited to 2, and we're looking for at least 3 basically ever year). |
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#5
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Re: An improvement to OPR
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http://www.chiefdelphi.com/forums/sh...t=twitter+data It has everything you need. Last edited by AGPapa : 10-05-2013 at 11:32. Reason: spelling |
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#6
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Re: An improvement to OPR
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http://www.chiefdelphi.com/forums/sh...53&postcount=1 As with any analysis using Twitter data, caveat utilitor. |
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#7
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Re: An improvement to OPR
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Quote:
[/and now back to your regularly scheduled thread] |
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