Description of fast matrix multiplication algorithm: ⟨4×5×11:169⟩

Algorithm type

X4Y4Z4+X4Y3Z4+X3Y4Z4+X3Y3Z4+3X2Y5Z2+XY5Z2+40X2Y2Z2+2X3YZ+2X2Y2Z+3X2YZ2+16XY3Z+XY2Z2+3XYZ3+8X2YZ+6XY2Z+3XYZ2+77XYZX4Y4Z4X4Y3Z4X3Y4Z4X3Y3Z43X2Y5Z2XY5Z240X2Y2Z22X3YZ2X2Y2Z3X2YZ216XY3ZXY2Z23XYZ38X2YZ6XY2Z3XYZ277XYZX^4*Y^4*Z^4+X^4*Y^3*Z^4+X^3*Y^4*Z^4+X^3*Y^3*Z^4+3*X^2*Y^5*Z^2+X*Y^5*Z^2+40*X^2*Y^2*Z^2+2*X^3*Y*Z+2*X^2*Y^2*Z+3*X^2*Y*Z^2+16*X*Y^3*Z+X*Y^2*Z^2+3*X*Y*Z^3+8*X^2*Y*Z+6*X*Y^2*Z+3*X*Y*Z^2+77*X*Y*Z

Algorithm definition

The algorithm ⟨4×5×11:169⟩ could be constructed using the following decomposition:

⟨4×5×11:169⟩ = ⟨4×5×8:122⟩ + ⟨4×5×3:47⟩.

This decomposition is defined by the following equality:

TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_1B_1_2B_1_3B_1_4B_1_5B_1_6B_1_7B_1_8B_1_9B_1_10B_1_11B_2_1B_2_2B_2_3B_2_4B_2_5B_2_6B_2_7B_2_8B_2_9B_2_10B_2_11B_3_1B_3_2B_3_3B_3_4B_3_5B_3_6B_3_7B_3_8B_3_9B_3_10B_3_11B_4_1B_4_2B_4_3B_4_4B_4_5B_4_6B_4_7B_4_8B_4_9B_4_10B_4_11B_5_1B_5_2B_5_3B_5_4B_5_5B_5_6B_5_7B_5_8B_5_9B_5_10B_5_11C_1_1C_1_2C_1_3C_1_4C_2_1C_2_2C_2_3C_2_4C_3_1C_3_2C_3_3C_3_4C_4_1C_4_2C_4_3C_4_4C_5_1C_5_2C_5_3C_5_4C_6_1C_6_2C_6_3C_6_4C_7_1C_7_2C_7_3C_7_4C_8_1C_8_2C_8_3C_8_4C_9_1C_9_2C_9_3C_9_4C_10_1C_10_2C_10_3C_10_4C_11_1C_11_2C_11_3C_11_4=TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_1B_1_2B_1_3B_1_4B_1_5B_1_6B_1_7B_1_8B_2_1B_2_2B_2_3B_2_4B_2_5B_2_6B_2_7B_2_8B_3_1B_3_2B_3_3B_3_4B_3_5B_3_6B_3_7B_3_8B_4_1B_4_2B_4_3B_4_4B_4_5B_4_6B_4_7B_4_8B_5_1B_5_2B_5_3B_5_4B_5_5B_5_6B_5_7B_5_8C_1_1C_1_2C_1_3C_1_4C_2_1C_2_2C_2_3C_2_4C_3_1C_3_2C_3_3C_3_4C_4_1C_4_2C_4_3C_4_4C_5_1C_5_2C_5_3C_5_4C_6_1C_6_2C_6_3C_6_4C_7_1C_7_2C_7_3C_7_4C_8_1C_8_2C_8_3C_8_4+TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_9B_1_10B_1_11B_2_9B_2_10B_2_11B_3_9B_3_10B_3_11B_4_9B_4_10B_4_11B_5_9B_5_10B_5_11C_9_1C_9_2C_9_3C_9_4C_10_1C_10_2C_10_3C_10_4C_11_1C_11_2C_11_3C_11_4TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_1B_1_2B_1_3B_1_4B_1_5B_1_6B_1_7B_1_8B_1_9B_1_10B_1_11B_2_1B_2_2B_2_3B_2_4B_2_5B_2_6B_2_7B_2_8B_2_9B_2_10B_2_11B_3_1B_3_2B_3_3B_3_4B_3_5B_3_6B_3_7B_3_8B_3_9B_3_10B_3_11B_4_1B_4_2B_4_3B_4_4B_4_5B_4_6B_4_7B_4_8B_4_9B_4_10B_4_11B_5_1B_5_2B_5_3B_5_4B_5_5B_5_6B_5_7B_5_8B_5_9B_5_10B_5_11C_1_1C_1_2C_1_3C_1_4C_2_1C_2_2C_2_3C_2_4C_3_1C_3_2C_3_3C_3_4C_4_1C_4_2C_4_3C_4_4C_5_1C_5_2C_5_3C_5_4C_6_1C_6_2C_6_3C_6_4C_7_1C_7_2C_7_3C_7_4C_8_1C_8_2C_8_3C_8_4C_9_1C_9_2C_9_3C_9_4C_10_1C_10_2C_10_3C_10_4C_11_1C_11_2C_11_3C_11_4TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_1B_1_2B_1_3B_1_4B_1_5B_1_6B_1_7B_1_8B_2_1B_2_2B_2_3B_2_4B_2_5B_2_6B_2_7B_2_8B_3_1B_3_2B_3_3B_3_4B_3_5B_3_6B_3_7B_3_8B_4_1B_4_2B_4_3B_4_4B_4_5B_4_6B_4_7B_4_8B_5_1B_5_2B_5_3B_5_4B_5_5B_5_6B_5_7B_5_8C_1_1C_1_2C_1_3C_1_4C_2_1C_2_2C_2_3C_2_4C_3_1C_3_2C_3_3C_3_4C_4_1C_4_2C_4_3C_4_4C_5_1C_5_2C_5_3C_5_4C_6_1C_6_2C_6_3C_6_4C_7_1C_7_2C_7_3C_7_4C_8_1C_8_2C_8_3C_8_4TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_2_1A_2_2A_2_3A_2_4A_2_5A_3_1A_3_2A_3_3A_3_4A_3_5A_4_1A_4_2A_4_3A_4_4A_4_5B_1_9B_1_10B_1_11B_2_9B_2_10B_2_11B_3_9B_3_10B_3_11B_4_9B_4_10B_4_11B_5_9B_5_10B_5_11C_9_1C_9_2C_9_3C_9_4C_10_1C_10_2C_10_3C_10_4C_11_1C_11_2C_11_3C_11_4Trace(Mul(Matrix(4, 5, [[A_1_1,A_1_2,A_1_3,A_1_4,A_1_5],[A_2_1,A_2_2,A_2_3,A_2_4,A_2_5],[A_3_1,A_3_2,A_3_3,A_3_4,A_3_5],[A_4_1,A_4_2,A_4_3,A_4_4,A_4_5]]),Matrix(5, 11, [[B_1_1,B_1_2,B_1_3,B_1_4,B_1_5,B_1_6,B_1_7,B_1_8,B_1_9,B_1_10,B_1_11],[B_2_1,B_2_2,B_2_3,B_2_4,B_2_5,B_2_6,B_2_7,B_2_8,B_2_9,B_2_10,B_2_11],[B_3_1,B_3_2,B_3_3,B_3_4,B_3_5,B_3_6,B_3_7,B_3_8,B_3_9,B_3_10,B_3_11],[B_4_1,B_4_2,B_4_3,B_4_4,B_4_5,B_4_6,B_4_7,B_4_8,B_4_9,B_4_10,B_4_11],[B_5_1,B_5_2,B_5_3,B_5_4,B_5_5,B_5_6,B_5_7,B_5_8,B_5_9,B_5_10,B_5_11]]),Matrix(11, 4, [[C_1_1,C_1_2,C_1_3,C_1_4],[C_2_1,C_2_2,C_2_3,C_2_4],[C_3_1,C_3_2,C_3_3,C_3_4],[C_4_1,C_4_2,C_4_3,C_4_4],[C_5_1,C_5_2,C_5_3,C_5_4],[C_6_1,C_6_2,C_6_3,C_6_4],[C_7_1,C_7_2,C_7_3,C_7_4],[C_8_1,C_8_2,C_8_3,C_8_4],[C_9_1,C_9_2,C_9_3,C_9_4],[C_10_1,C_10_2,C_10_3,C_10_4],[C_11_1,C_11_2,C_11_3,C_11_4]]))) = Trace(Mul(Matrix(4, 5, [[A_1_1,A_1_2,A_1_3,A_1_4,A_1_5],[A_2_1,A_2_2,A_2_3,A_2_4,A_2_5],[A_3_1,A_3_2,A_3_3,A_3_4,A_3_5],[A_4_1,A_4_2,A_4_3,A_4_4,A_4_5]]),Matrix(5, 8, [[B_1_1,B_1_2,B_1_3,B_1_4,B_1_5,B_1_6,B_1_7,B_1_8],[B_2_1,B_2_2,B_2_3,B_2_4,B_2_5,B_2_6,B_2_7,B_2_8],[B_3_1,B_3_2,B_3_3,B_3_4,B_3_5,B_3_6,B_3_7,B_3_8],[B_4_1,B_4_2,B_4_3,B_4_4,B_4_5,B_4_6,B_4_7,B_4_8],[B_5_1,B_5_2,B_5_3,B_5_4,B_5_5,B_5_6,B_5_7,B_5_8]]),Matrix(8, 4, [[C_1_1,C_1_2,C_1_3,C_1_4],[C_2_1,C_2_2,C_2_3,C_2_4],[C_3_1,C_3_2,C_3_3,C_3_4],[C_4_1,C_4_2,C_4_3,C_4_4],[C_5_1,C_5_2,C_5_3,C_5_4],[C_6_1,C_6_2,C_6_3,C_6_4],[C_7_1,C_7_2,C_7_3,C_7_4],[C_8_1,C_8_2,C_8_3,C_8_4]])))+Trace(Mul(Matrix(4, 5, [[A_1_1,A_1_2,A_1_3,A_1_4,A_1_5],[A_2_1,A_2_2,A_2_3,A_2_4,A_2_5],[A_3_1,A_3_2,A_3_3,A_3_4,A_3_5],[A_4_1,A_4_2,A_4_3,A_4_4,A_4_5]]),Matrix(5, 3, [[B_1_9,B_1_10,B_1_11],[B_2_9,B_2_10,B_2_11],[B_3_9,B_3_10,B_3_11],[B_4_9,B_4_10,B_4_11],[B_5_9,B_5_10,B_5_11]]),Matrix(3, 4, [[C_9_1,C_9_2,C_9_3,C_9_4],[C_10_1,C_10_2,C_10_3,C_10_4],[C_11_1,C_11_2,C_11_3,C_11_4]])))

N.B.: for any matrices A, B and C such that the expression Tr(Mul(A,B,C)) is defined, one can construct several trilinear homogeneous polynomials P(A,B,C) such that P(A,B,C)=Tr(Mul(A,B,C)) (P(A,B,C) variables are A,B and C's coefficients). Each trilinear P expression encodes a matrix multiplication algorithm: the coefficient in C_i_j of P(A,B,C) is the (i,j)-th entry of the matrix product Mul(A,B)=Transpose(C).

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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