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Athefre's Corner Recognition Method (ACRM)
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This is the universal recognition method, cases, and algorithms for:
- corners of the last layer (CLL),
- non-matching CLL (NMCLL), and
- conjugated CLL (CCLL) -- a.k.a. Briggs-Taylor reduction, Briggs Last Corners, L5C reduction, transformed CLL.

Each case lists up to 4 CMLL algorithms. The bolded algorithm is the recommended one.
Next to the algorithms for each case are the movecount and Trangium's MCC. (Both count initial AUF turns.)
Below each case is the equivalent CMLL case name and a thumbnail of the equivalent CMLL case.

If you are new to this recognition method:
1. Skim the Basics, and make sure you understand the ideas there.
2. Learn the Steps. This is all the info you need to solve CLL/NMCLL/CCLL cases.
3. Follow the Solves. These 8 solves walk you through 2-Look CLL, 1-Look CLL, NMCLL, and CCLL.
4. Check out the Key. This explains the layout of cases throughout this document.

For beginners and those transitioning from other recognition methods, check out the 2-Look approach.

For those seeking how to best integrate their own CLL algorithms, check out the Index.
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Recognition developed by Athefre (James Straughan)
Documentation developed by tsmosher (Tim Mosher)		Algorithm Sources:https://speedcubedb.com/
http://algdb.net/
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Schema:yrbwogSend errors/improvements/algorithms/feedback to:tmosher.nutrien@gmail.com