Description of fast matrix multiplication algorithm: ⟨3×4×5:47⟩

Algorithm type

13⁢X2⁢Y2⁢Z2+3⁢X3⁢Y⁢Z+X2⁢Y2⁢Z+2⁢X⁢Y3⁢Z+2⁢X⁢Y2⁢Z2+4⁢X⁢Y⁢Z3+3⁢X2⁢Y⁢Z+8⁢X⁢Y2⁢Z+6⁢X⁢Y⁢Z2+5⁢X⁢Y⁢Z13X2Y2Z23X3YZX2Y2Z2XY3Z2XY2Z24XYZ33X2YZ8XY2Z6XYZ25XYZ13*X^2*Y^2*Z^2+3*X^3*Y*Z+X^2*Y^2*Z+2*X*Y^3*Z+2*X*Y^2*Z^2+4*X*Y*Z^3+3*X^2*Y*Z+8*X*Y^2*Z+6*X*Y*Z^2+5*X*Y*Z

Algorithm definition

The algorithm ⟨3×4×5:47⟩ is taken from:

Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J.R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, and Pushmeet Kohli. Discovering faster matrix multiplication algorithms with reinforcement learning. Nature, 610(7930):47--53, October 2022. [ DOI | http ]

Algorithm description

These encodings are given in compressed text format using the maple computer algebra system. In each cases, the last line could be understood as a description of the encoding with respect to classical matrix multiplication algorithm. As these outputs are structured, one can construct easily a parser to its favorite format using the maple documentation without this software.


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