Description of fast matrix multiplication algorithm: ⟨7×14×14:912⟩

Algorithm type

X3Y10Z2+4X4Y6Z4+2X3Y8Z2+3X3Y6Z4+23X4Y4Z4+X3Y6Z3+X2Y8Z2+X2Y6Z4+4X4Y4Z3+X3Y6Z2+8X3Y4Z4+X4Y2Z4+9X3Y4Z3+4X2Y6Z2+X3Y4Z2+X2Y2Z5+2XY6Z2+7X4Y2Z2+48X3Y3Z2+3X2Y5Z+16X2Y4Z2+8X2Y2Z4+XY4Z3+X4Y2Z+72X3Y3Z+3X3Y2Z2+6X2Y4Z+42X2Y3Z2+4X2Y2Z3+4XY4Z2+XY2Z4+X3Y2Z+3X2Y3Z+202X2Y2Z2+10XY4Z+3XY3Z2+5X2Y2Z+21X2YZ2+54XY3Z+6XY2Z2+3XYZ3+36X2YZ+99XY2Z+39XYZ2+147XYZX3Y10Z24X4Y6Z42X3Y8Z23X3Y6Z423X4Y4Z4X3Y6Z3X2Y8Z2X2Y6Z44X4Y4Z3X3Y6Z28X3Y4Z4X4Y2Z49X3Y4Z34X2Y6Z2X3Y4Z2X2Y2Z52XY6Z27X4Y2Z248X3Y3Z23X2Y5Z16X2Y4Z28X2Y2Z4XY4Z3X4Y2Z72X3Y3Z3X3Y2Z26X2Y4Z42X2Y3Z24X2Y2Z34XY4Z2XY2Z4X3Y2Z3X2Y3Z202X2Y2Z210XY4Z3XY3Z25X2Y2Z21X2YZ254XY3Z6XY2Z23XYZ336X2YZ99XY2Z39XYZ2147XYZX^3*Y^10*Z^2+4*X^4*Y^6*Z^4+2*X^3*Y^8*Z^2+3*X^3*Y^6*Z^4+23*X^4*Y^4*Z^4+X^3*Y^6*Z^3+X^2*Y^8*Z^2+X^2*Y^6*Z^4+4*X^4*Y^4*Z^3+X^3*Y^6*Z^2+8*X^3*Y^4*Z^4+X^4*Y^2*Z^4+9*X^3*Y^4*Z^3+4*X^2*Y^6*Z^2+X^3*Y^4*Z^2+X^2*Y^2*Z^5+2*X*Y^6*Z^2+7*X^4*Y^2*Z^2+48*X^3*Y^3*Z^2+3*X^2*Y^5*Z+16*X^2*Y^4*Z^2+8*X^2*Y^2*Z^4+X*Y^4*Z^3+X^4*Y^2*Z+72*X^3*Y^3*Z+3*X^3*Y^2*Z^2+6*X^2*Y^4*Z+42*X^2*Y^3*Z^2+4*X^2*Y^2*Z^3+4*X*Y^4*Z^2+X*Y^2*Z^4+X^3*Y^2*Z+3*X^2*Y^3*Z+202*X^2*Y^2*Z^2+10*X*Y^4*Z+3*X*Y^3*Z^2+5*X^2*Y^2*Z+21*X^2*Y*Z^2+54*X*Y^3*Z+6*X*Y^2*Z^2+3*X*Y*Z^3+36*X^2*Y*Z+99*X*Y^2*Z+39*X*Y*Z^2+147*X*Y*Z

Algorithm definition

The algorithm ⟨7×14×14:912⟩ could be constructed using the following decomposition:

⟨7×14×14:912⟩ = ⟨4×7×7:144⟩ + ⟨3×7×7:112⟩ + ⟨4×7×7:144⟩ + ⟨3×7×7:112⟩ + ⟨3×7×7:112⟩ + ⟨4×7×7:144⟩ + ⟨4×7×7:144⟩.

This decomposition is defined by the following equality:

TraceMulA_1_1A_1_2A_1_3A_1_4A_1_5A_1_6A_1_7A_1_8A_1_9A_1_10A_1_11A_1_12A_1_13A_1_14A_2_1A_2_2A_2_3A_2_4A_2_5A_2_6A_2_7A_2_8A_2_9A_2_10A_2_11A_2_12A_2_13A_2_14A_3_1A_3_2A_3_3A_3_4A_3_5A_3_6A_3_7A_3_8A_3_9A_3_10A_3_11A_3_12A_3_13A_3_14A_4_1A_4_2A_4_3A_4_4A_4_5A_4_6A_4_7A_4_8A_4_9A_4_10A_4_11A_4_12A_4_13A_4_14A_5_1A_5_2A_5_3A_5_4A_5_5A_5_6A_5_7A_5_8A_5_9A_5_10A_5_11A_5_12A_5_13A_5_14A_6_1A_6_2A_6_3A_6_4A_6_5A_6_6A_6_7A_6_8A_6_9A_6_10A_6_11A_6_12A_6_13A_6_14A_7_1A_7_2A_7_3A_7_4A_7_5A_7_6A_7_7A_7_8A_7_9A_7_10A_7_11A_7_12A_7_13A_7_14B_1_1B_1_2B_1_3B_1_4B_1_5B_1_6B_1_7B_1_8B_1_9B_1_10B_1_11B_1_12B_1_13B_1_14B_2_1B_2_2B_2_3B_2_4B_2_5B_2_6B_2_7B_2_8B_2_9B_2_10B_2_11B_2_12B_2_13B_2_14B_3_1B_3_2B_3_3B_3_4B_3_5B_3_6B_3_7B_3_8B_3_9B_3_10B_3_11B_3_12B_3_13B_3_14B_4_1B_4_2B_4_3B_4_4B_4_5B_4_6B_4_7B_4_8B_4_9B_4_10B_4_11B_4_12B_4_13B_4_14B_5_1B_5_2B_5_3B_5_4B_5_5B_5_6B_5_7B_5_8B_5_9B_5_10B_5_11B_5_12B_5_13B_5_14B_6_1B_6_2B_6_3B_6_4B_6_5B_6_6B_6_7B_6_8B_6_9B_6_10B_6_11B_6_12B_6_13B_6_14B_7_1B_7_2B_7_3B_7_4B_7_5B_7_6B_7_7B_7_8B_7_9B_7_10B_7_11B_7_12B_7_13B_7_14B_8_1B_8_2B_8_3B_8_4B_8_5B_8_6B_8_7B_8_8B_8_9B_8_10B_8_11B_8_12B_8_13B_8_14B_9_1B_9_2B_9_3B_9_4B_9_5B_9_6B_9_7B_9_8B_9_9B_9_10B_9_11B_9_12B_9_13B_9_14B_10_1B_10_2B_10_3B_10_4B_10_5B_10_6B_10_7B_10_8B_10_9B_10_10B_10_11B_10_12B_10_13B_10_14B_11_1B_11_2B_11_3B_11_4B_11_5B_11_6B_11_7B_11_8B_11_9B_11_10B_11_11B_11_12B_11_13B_11_14B_12_1B_12_2B_12_3B_12_4B_12_5B_12_6B_12_7B_12_8B_12_9B_12_10B_12_11B_12_12B_12_13B_12_14B_13_1B_13_2B_13_3B_13_4B_13_5B_13_6B_13_7B_13_8B_13_9B_13_10B_13_11B_13_12B_13_13B_13_14B_14_1B_14_2B_14_3B_14_4B_14_5B_14_6B_14_7B_14_8B_14_9B_14_10B_14_11B_14_12B_14_13B_14_14C_1_1C_1_2C_1_3C_1_4C_1_5C_1_6C_1_7C_2_1C_2_2C_2_3C_2_4C_2_5C_2_6C_2_7C_3_1C_3_2C_3_3C_3_4C_3_5C_3_6C_3_7C_4_1C_4_2C_4_3C_4_4C_4_5C_4_6C_4_7C_5_1C_5_2C_5_3C_5_4C_5_5C_5_6C_5_7C_6_1C_6_2C_6_3C_6_4C_6_5C_6_6C_6_7C_7_1C_7_2C_7_3C_7_4C_7_5C_7_6C_7_7C_8_1C_8_2C_8_3C_8_4C_8_5C_8_6C_8_7C_9_1C_9_2C_9_3C_9_4C_9_5C_9_6C_9_7C_10_1C_10_2C_10_3C_10_4C_10_5C_10_6C_10_7C_11_1C_11_2C_11_3C_11_4C_11_5C_11_6C_11_7C_12_1C_12_2C_12_3C_12_4C_12_5C_12_6C_12_7C_13_1C_13_2C_13_3C_13_4C_13_5C_13_6C_13_7C_14_1C_14_2C_14_3C_14_4C_14_5C_14_6C_14_7=TraceMulA_4_8A_4_9A_4_10A_4_11A_4_12A_4_13A_4_14A_1_1+A_5_8A_1_2+A_5_9A_1_3+A_5_10A_1_4+A_5_11A_1_5+A_5_12A_1_6+A_5_13A_1_7+A_5_14A_2_1+A_6_8A_2_2+A_6_9A_2_3+A_6_10A_2_4+A_6_11A_2_5+A_6_12A_2_6+A_6_13A_2_7+A_6_14A_3_1+A_7_8A_3_2+A_7_9A_3_3+A_7_10A_3_4+A_7_11A_3_5+A_7_12A_3_6+A_7_13A_3_7+A_7_14B_1_1+B_8_8B_1_2+B_8_9B_1_3+B_8_10B_1_4+B_8_11B_1_5+B_8_12B_1_6+B_8_13B_1_7+B_8_14B_2_1+B_9_8B_2_2+B_9_9B_2_3+B_9_10B_2_4+B_9_11B_2_5+B_9_12B_2_6+B_9_13B_2_7+B_9_14B_3_1+B_10_8B_3_2+B_10_9B_3_3+B_10_10B_3_4+B_10_11B_3_5+B_10_12B_3_6+B_10_13B_3_7+B_10_14B_4_1+B_11_8B_4_2+B_11_9B_4_3+B_11_10B_4_4+B_11_11B_4_5+B_11_12B_4_6+B_11_13B_4_7+B_11_14B_5_1+B_12_8B_5_2+B_12_9B_5_3+B_12_10B_5_4+B_12_11B_5_5+B_12_12B_5_6+B_12_13B_5_7+B_12_14B_6_1+B_13_8B_6_2+B_13_9B_6_3+B_13_10B_6_4+B_13_11B_6_5+B_13_12B_6_6+B_13_13B_6_7+B_13_14B_7_1+B_14_8B_7_2+B_14_9B_7_3+B_14_10B_7_4+B_14_11B_7_5+B_14_12B_7_6+B_14_13B_7_7+B_14_14C_8_4C_1_1+C_8_5C_1_2+C_8_6C_1_3+C_8_7C_9_4C_2_1+C_9_5C_2_2+C_9_6C_2_3+C_9_7C_10_4C_3_1+C_10_5C_3_2+C_10_6C_3_3+C_10_7C_11_4C_4_1+C_11_5C_4_2+C_11_6C_4_3+C_11_7C_12_4C_5_1+C_12_5C_5_2+C_12_6C_5_3+C_12_7C_13_4C_6_1+C_13_5C_6_2+C_13_6C_6_3+C_13_7C_14_4C_7_1+C_14_5C_7_2+C_14_6C_7_3+C_14_7+TraceMulA_1_8-A_5_8A_1_9-A_5_9A_1_10-A_5_10A_1_11-A_5_11A_1_12-A_5_12A_1_13-A_5_13A_1_14-A_5_14A_2_8-A_6_8A_2_9-A_6_9A_2_10-A_6_10A_2_11-A_6_11A_2_12-A_6_12A_2_13-A_6_13A_2_14-A_6_14A_3_8-A_7_8A_3_9-A_7_9A_3_10-A_7_10A_3_11-A_7_11A_3_12-A_7_12A_3_13-A_7_13A_3_14-A_7_14B_8_1+B_8_8B_8_2+B_8_9B_8_3+B_8_10B_8_4+B_8_11B_8_5+B_8_12B_8_6+B_8_13B_8_7+B_8_14B_9_1+B_9_8B_9_2+B_9_9B_9_3+B_9_10B_9_4+B_9_11B_9_5+B_9_12B_9_6+B_9_13B_9_7+B_9_14B_10_1+B_10_8B_10_2+B_10_9B_10_3+B_10_10B_10_4+B_10_11B_10_5+B_10_12B_10_6+B_10_13B_10_7+B_10_14B_11_1+B_11_8B_11_2+B_11_9B_11_3+B_11_10B_11_4+B_11_11B_11_5+B_11_12B_11_6+B_11_13B_11_7+B_11_14B_12_1+B_12_8B_12_2+B_12_9B_12_3+B_12_10B_12_4+B_12_11B_12_5+B_12_12B_12_6+B_12_13B_12_7+B_12_14B_13_1+B_13_8B_13_2+B_13_9B_13_3+B_13_10B_13_4+B_13_11B_13_5+B_13_12B_13_6+B_13_13B_13_7+B_13_14B_14_1+B_14_8B_14_2+B_14_9B_14_3+B_14_10B_14_4+B_14_11B_14_5+B_14_12B_14_6+B_14_13B_14_7+B_14_14C_1_1C_1_2C_1_3C_2_1C_2_2C_2_3C_3_1C_3_2C_3_3C_4_1C_4_2C_4_3C_5_1C_5_2C_5_3C_6_1C_6_2C_6_3C_7_1C_7_2C_7_3+TraceMulA_4_1A_4_2A_4_3A_4_4A_4_5A_4_6A_4_7-A_1_1+A_5_1-A_1_2+A_5_2-A_1_3+A_5_3-A_1_4+A_5_4-A_1_5+A_5_5-A_1_6+A_5_6-A_1_7+A_5_7-A_2_1+A_6_1-A_2_2+A_6_2-A_2_3+A_6_3-A_2_4+A_6_4-A_2_5+A_6_5-A_2_6+A_6_6-A_2_7+A_6_7-A_3_1+A_7_1-A_3_2+A_7_2-A_3_3+A_7_3-A_3_4+A_7_4-A_3_5+A_7_5-A_3_6+A_7_6-A_3_7+A_7_7B_1_1+B_1_8B_1_2+B_1_9B_1_3+B_1_10B_1_4+B_1_11B_1_5+B_1_12B_1_6+B_1_13B_1_7+B_1_14B_2_1+B_2_8B_2_2+B_2_9B_2_3+B_2_10B_2_4+B_2_11B_2_5+B_2_12B_2_6+B_2_13B_2_7+B_2_14B_3_1+B_3_8B_3_2+B_3_9B_3_3+B_3_10B_3_4+B_3_11B_3_5+B_3_12B_3_6+B_3_13B_3_7+B_3_14B_4_1+B_4_8B_4_2+B_4_9B_4_3+B_4_10B_4_4+B_4_11B_4_5+B_4_12B_4_6+B_4_13B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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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