Description of fast matrix multiplication algorithm: ⟨10×30×32:5426⟩

Algorithm type

X2⁢Y13⁢Z4+2⁢X2⁢Y12⁢Z4+2⁢X2⁢Y12⁢Z3+X2⁢Y11⁢Z4+560⁢X4⁢Y8⁢Z4+6⁢X⁢Y13⁢Z2+X2⁢Y10⁢Z3+7⁢X⁢Y12⁢Z2+14⁢X2⁢Y8⁢Z4+X⁢Y12⁢Z+4⁢X⁢Y11⁢Z2+6⁢X2⁢Y8⁢Z3+2⁢X2⁢Y7⁢Z4+748⁢X2⁢Y8⁢Z2+3⁢X2⁢Y7⁢Z3+2⁢X2⁢Y6⁢Z4+2⁢X2⁢Y4⁢Z6+2⁢X⁢Y10⁢Z+4⁢X⁢Y9⁢Z2+3⁢X2⁢Y7⁢Z2+8⁢X2⁢Y6⁢Z3+10⁢X2⁢Y5⁢Z4+X2⁢Y3⁢Z6+2⁢X⁢Y9⁢Z+45⁢X⁢Y8⁢Z2+120⁢X4⁢Y4⁢Z2+4⁢X2⁢Y6⁢Z2+9⁢X2⁢Y5⁢Z3+155⁢X2⁢Y4⁢Z4+5⁢X2⁢Y2⁢Z6+196⁢X⁢Y8⁢Z+14⁢X⁢Y7⁢Z2+3⁢X2⁢Y5⁢Z2+23⁢X2⁢Y4⁢Z3+15⁢X2⁢Y3⁢Z4+5⁢X⁢Y7⁢Z+15⁢X⁢Y6⁢Z2+6⁢X⁢Y5⁢Z3+154⁢X2⁢Y4⁢Z2+12⁢X2⁢Y3⁢Z3+16⁢X2⁢Y2⁢Z4+20⁢X⁢Y6⁢Z+34⁢X⁢Y5⁢Z2+4⁢X⁢Y4⁢Z3+120⁢X2⁢Y4⁢Z+9⁢X2⁢Y3⁢Z2+12⁢X2⁢Y2⁢Z3+29⁢X⁢Y5⁢Z+187⁢X⁢Y4⁢Z2+7⁢X⁢Y3⁢Z3+1151⁢X2⁢Y2⁢Z2+160⁢X⁢Y4⁢Z+66⁢X⁢Y3⁢Z2+8⁢X⁢Y2⁢Z3+37⁢X⁢Y3⁢Z+75⁢X⁢Y2⁢Z2+13⁢X⁢Y⁢Z3+240⁢X2⁢Y⁢Z+410⁢X⁢Y2⁢Z+351⁢X⁢Y⁢Z2+304⁢X⁢Y⁢ZX2Y13Z42X2Y12Z42X2Y12Z3X2Y11Z4560X4Y8Z46XY13Z2X2Y10Z37XY12Z214X2Y8Z4XY12Z4XY11Z26X2Y8Z32X2Y7Z4748X2Y8Z23X2Y7Z32X2Y6Z42X2Y4Z62XY10Z4XY9Z23X2Y7Z28X2Y6Z310X2Y5Z4X2Y3Z62XY9Z45XY8Z2120X4Y4Z24X2Y6Z29X2Y5Z3155X2Y4Z45X2Y2Z6196XY8Z14XY7Z23X2Y5Z223X2Y4Z315X2Y3Z45XY7Z15XY6Z26XY5Z3154X2Y4Z212X2Y3Z316X2Y2Z420XY6Z34XY5Z24XY4Z3120X2Y4Z9X2Y3Z212X2Y2Z329XY5Z187XY4Z27XY3Z31151X2Y2Z2160XY4Z66XY3Z28XY2Z337XY3Z75XY2Z213XYZ3240X2YZ410XY2Z351XYZ2304XYZX^2*Y^13*Z^4+2*X^2*Y^12*Z^4+2*X^2*Y^12*Z^3+X^2*Y^11*Z^4+560*X^4*Y^8*Z^4+6*X*Y^13*Z^2+X^2*Y^10*Z^3+7*X*Y^12*Z^2+14*X^2*Y^8*Z^4+X*Y^12*Z+4*X*Y^11*Z^2+6*X^2*Y^8*Z^3+2*X^2*Y^7*Z^4+748*X^2*Y^8*Z^2+3*X^2*Y^7*Z^3+2*X^2*Y^6*Z^4+2*X^2*Y^4*Z^6+2*X*Y^10*Z+4*X*Y^9*Z^2+3*X^2*Y^7*Z^2+8*X^2*Y^6*Z^3+10*X^2*Y^5*Z^4+X^2*Y^3*Z^6+2*X*Y^9*Z+45*X*Y^8*Z^2+120*X^4*Y^4*Z^2+4*X^2*Y^6*Z^2+9*X^2*Y^5*Z^3+155*X^2*Y^4*Z^4+5*X^2*Y^2*Z^6+196*X*Y^8*Z+14*X*Y^7*Z^2+3*X^2*Y^5*Z^2+23*X^2*Y^4*Z^3+15*X^2*Y^3*Z^4+5*X*Y^7*Z+15*X*Y^6*Z^2+6*X*Y^5*Z^3+154*X^2*Y^4*Z^2+12*X^2*Y^3*Z^3+16*X^2*Y^2*Z^4+20*X*Y^6*Z+34*X*Y^5*Z^2+4*X*Y^4*Z^3+120*X^2*Y^4*Z+9*X^2*Y^3*Z^2+12*X^2*Y^2*Z^3+29*X*Y^5*Z+187*X*Y^4*Z^2+7*X*Y^3*Z^3+1151*X^2*Y^2*Z^2+160*X*Y^4*Z+66*X*Y^3*Z^2+8*X*Y^2*Z^3+37*X*Y^3*Z+75*X*Y^2*Z^2+13*X*Y*Z^3+240*X^2*Y*Z+410*X*Y^2*Z+351*X*Y*Z^2+304*X*Y*Z

Algorithm definition

The algorithm ⟨10×30×32:5426⟩ is serendipitous tensor product (⟨5×6×8:170⟩ - 27) ⊗ ⟨2×5×4:32⟩ +⟨2×5×12:94⟩ +12⟨2×5×8:63⟩.

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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