Description of fast matrix multiplication algorithm: ⟨4×14×16:610⟩

Algorithm type

22X4Y4Z4+4X4Y3Z4+8XY9Z+8X3Y3Z4+14X2Y6Z2+8X2Y5Z2+58X2Y4Z2+20XY6Z+14X2Y3Z2+4XY5Z+106X2Y2Z2+24XY4Z+8XY3Z2+8X2YZ2+60XY3Z+132XY2Z+112XYZ22X4Y4Z44X4Y3Z48XY9Z8X3Y3Z414X2Y6Z28X2Y5Z258X2Y4Z220XY6Z14X2Y3Z24XY5Z106X2Y2Z224XY4Z8XY3Z28X2YZ260XY3Z132XY2Z112XYZ22*X^4*Y^4*Z^4+4*X^4*Y^3*Z^4+8*X*Y^9*Z+8*X^3*Y^3*Z^4+14*X^2*Y^6*Z^2+8*X^2*Y^5*Z^2+58*X^2*Y^4*Z^2+20*X*Y^6*Z+14*X^2*Y^3*Z^2+4*X*Y^5*Z+106*X^2*Y^2*Z^2+24*X*Y^4*Z+8*X*Y^3*Z^2+8*X^2*Y*Z^2+60*X*Y^3*Z+132*X*Y^2*Z+112*X*Y*Z

Algorithm definition

The algorithm ⟨4×14×16:610⟩ could be constructed using the following decomposition:

⟨4×14×16:610⟩ = ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×4×4:26⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×3×4:20⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×3×4:20⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩ + ⟨2×4×4:26⟩.

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_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_1_15B_1_16B_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_2_15B_2_16B_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_3_15B_3_16B_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_4_15B_4_16B_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_5_15B_5_16B_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_6_15B_6_16B_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_7_15B_7_16B_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_8_15B_8_16B_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_9_15B_9_16B_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_10_15B_10_16B_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_11_15B_11_16B_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_12_15B_12_16B_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_13_15B_13_16B_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_14B_14_15B_14_16C_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_4C_12_1C_12_2C_12_3C_12_4C_13_1C_13_2C_13_3C_13_4C_14_1C_14_2C_14_3C_14_4C_15_1C_15_2C_15_3C_15_4C_16_1C_16_2C_16_3C_16_4=TraceMulA_1_4-A_3_4A_1_5-A_3_5A_1_6-A_3_6A_2_4-A_4_4-A_4_5+A_2_5-A_4_6+A_2_6B_4_1-B_4_5+B_8_5-B_3_13+B_4_13B_4_2-B_4_6+B_8_6-B_3_14+B_4_14B_4_3-B_4_7+B_8_7-B_3_15+B_4_15B_4_4-B_4_8+B_8_8-B_3_16+B_4_16B_5_1-B_5_5+B_9_5-B_1_13+B_5_13B_5_2-B_5_6+B_9_6-B_1_14+B_5_14B_5_3-B_5_7+B_9_7-B_1_15+B_5_15B_5_4-B_5_8+B_9_8-B_1_16+B_5_16B_6_1-B_6_5+B_10_5-B_2_13+B_6_13B_6_2-B_6_6+B_10_6-B_2_14+B_6_14B_6_3-B_6_7+B_10_7-B_2_15+B_6_15B_6_4-B_6_8+B_10_8-B_2_16+B_6_16C_5_3C_5_4C_6_3C_6_4C_7_3C_7_4C_8_3C_8_4+TraceMulA_3_4+A_3_8A_3_5+A_3_9A_3_6+A_3_10A_4_4+A_4_8A_4_5+A_4_9A_4_6+A_4_10B_4_9B_4_10B_4_11B_4_12B_5_9B_5_10B_5_11B_5_12B_6_9B_6_10B_6_11B_6_12C_5_3+C_9_3+C_5_1+C_9_1C_5_4+C_9_4+C_5_2+C_9_2C_6_3+C_10_3+C_6_1+C_10_1C_6_4+C_10_4+C_6_2+C_10_2C_7_3+C_11_3+C_7_1+C_11_1C_11_4+C_7_4+C_7_2+C_11_2C_8_1+C_12_1+C_8_3+C_12_3C_8_2+C_12_2+C_8_4+C_12_4+TraceMulA_3_4+A_3_12A_3_5+A_3_13A_3_6+A_3_14A_4_4+A_4_12A_4_5+A_4_13A_4_6+A_4_14-B_3_13+B_4_13-B_3_14+B_4_14-B_3_15+B_4_15-B_3_16+B_4_16-B_1_13+B_5_13-B_1_14+B_5_14-B_1_15+B_5_15-B_1_16+B_5_16-B_2_13+B_6_13-B_2_14+B_6_14-B_2_15+B_6_15-B_2_16+B_6_16C_5_3+C_13_3C_5_4+C_13_4C_6_3+C_14_3C_6_4+C_14_4C_15_3+C_7_3C_15_4+C_7_4C_8_3+C_16_3C_8_4+C_16_4+TraceMulA_1_7+A_1_11A_1_8+A_1_12A_1_9+A_1_13A_1_10+A_1_14A_2_7+A_2_11A_2_8+A_2_12A_2_9+A_2_13A_2_10+A_2_14B_11_9B_11_10B_11_11B_11_12B_12_9B_12_10B_12_11B_12_12B_13_9B_13_10B_13_11B_13_12B_14_9B_14_10B_14_11B_14_12C_9_1+C_13_1+C_9_3+C_13_3C_9_2+C_13_2+C_9_4+C_13_4C_10_1+C_14_1+C_10_3+C_14_3C_10_2+C_14_2+C_10_4+C_14_4C_11_1+C_15_1+C_11_3+C_15_3C_11_2+C_15_2+C_11_4+C_15_4C_12_1+C_16_1+C_12_3+C_16_3C_12_2+C_16_2+C_12_4+C_16_4+TraceMulA_1_11-A_3_11A_1_12-A_3_12A_1_13-A_3_13A_1_14-A_3_14A_2_11-A_4_11A_2_12-A_4_12A_2_13-A_4_13A_2_14-A_4_14B_11_1-B_11_5-B_7_13+B_11_13B_11_2-B_11_6-B_7_14+B_11_14B_11_3-B_11_7-B_7_15+B_11_15B_11_4-B_11_8-B_7_16+B_11_16B_12_1-B_12_5+B_3_13-B_8_13+B_12_13B_12_2-B_12_6+B_3_14-B_8_14+B_12_14B_12_3-B_12_7+B_3_15-B_8_15+B_12_15B_12_4-B_12_8+B_3_16-B_8_16+B_12_16B_13_1-B_13_5+B_1_13-B_9_13+B_13_13B_13_2-B_13_6+B_1_14-B_9_14+B_13_14B_13_3-B_13_7+B_1_15-B_9_15+B_13_15B_13_4-B_13_8+B_1_16-B_9_16+B_13_16B_14_1-B_14_5+B_2_13-B_10_13+B_14_13B_14_2-B_14_6+B_2_14-B_10_14+B_14_14B_14_3-B_14_7+B_2_15-B_10_15+B_14_15B_14_4-B_14_8+B_2_16-B_10_16+B_14_16C_13_1C_13_2C_14_1C_14_2C_15_1C_15_2C_16_1C_16_2+TraceMulA_3_11A_1_4+A_3_12A_1_5+A_3_13A_1_6+A_3_14A_4_11A_2_4+A_4_12A_2_5+A_4_13A_2_6+A_4_14B_11_1-B_11_5B_11_2-B_11_6B_11_3-B_11_7B_11_4-B_11_8B_12_1-B_12_5-B_3_13+B_4_13B_12_2-B_12_6-B_3_14+B_4_14B_12_3-B_12_7-B_3_15+B_4_15B_12_4-B_12_8-B_3_16+B_4_16B_13_1-B_13_5-B_1_13+B_5_13B_13_2-B_13_6-B_1_14+B_5_14B_13_3-B_13_7-B_1_15+B_5_15B_13_4-B_13_8-B_1_16+B_5_16B_14_1-B_14_5-B_2_13+B_6_13B_14_2-B_14_6-B_2_14+B_6_14B_14_3-B_14_7-B_2_15+B_6_15B_14_4-B_14_8-B_2_16+B_6_16C_13_1-C_5_3C_13_2-C_5_4C_14_1-C_6_3C_14_2-C_6_4C_15_1-C_7_3C_15_2-C_7_4C_16_1-C_8_3C_16_2-C_8_4+TraceMulA_1_7A_1_3-A_3_3+A_1_8A_1_1-A_3_1+A_1_9A_1_2-A_3_2+A_1_10A_2_7A_2_3-A_4_3+A_2_8A_2_1-A_4_1+A_2_9A_2_2-A_4_2+A_2_10B_7_1B_7_2B_7_3B_7_4B_8_1-B_3_9B_8_2-B_3_10B_8_3-B_3_1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14_1C_2_3C_6_3C_14_3C_14_2C_2_4C_6_4C_14_4C_15_1C_3_3C_7_3C_15_3C_15_2C_3_4C_7_4C_15_4C_16_1C_4_3C_8_3C_16_3C_16_2C_4_4C_8_4C_16_4TraceMulA_1_3A_3_3A_1_4A_3_4A_1_12A_3_12A_1_1A_3_1A_1_5A_3_5A_1_13A_3_13A_1_2A_3_2A_1_6A_3_6A_1_14A_3_14A_2_3A_4_3A_2_4A_4_4A_2_12A_4_12A_2_1A_4_1A_2_5A_4_5A_2_13A_4_13A_2_2A_4_2A_2_6A_4_6A_2_14A_4_14B_3_13B_3_14B_3_15B_3_16B_1_13B_1_14B_1_15B_1_16B_2_13B_2_14B_2_15B_2_16C_1_3C_5_3C_13_3C_1_4C_5_4C_13_4C_2_3C_6_3C_14_3C_2_4C_6_4C_14_4C_3_3C_7_3C_15_3C_3_4C_7_4C_15_4C_4_3C_8_3C_16_3C_4_4C_8_4C_16_4TraceMulA_1_11A_1_3A_1_4A_1_12A_1_1A_1_5A_1_13A_1_2A_1_6A_1_14A_2_11A_2_3A_2_4A_2_12A_2_1A_2_5A_2_13A_2_2A_2_6A_2_14B_11_1B_11_2B_11_3B_11_4B_12_1B_12_2B_12_3B_12_4B_13_1B_13_2B_13_3B_13_4B_14_1B_14_2B_14_3B_14_4C_1_1C_5_1C_13_1C_1_3C_5_3C_13_3C_1_2C_5_2C_13_2C_1_4C_5_4C_13_4C_2_1C_6_1C_14_1C_2_3C_6_3C_14_3C_2_2C_6_2C_14_2C_2_4C_6_4C_14_4C_3_1C_7_1C_15_1C_3_3C_7_3C_15_3C_3_2C_7_2C_15_2C_3_4C_7_4C_15_4C_4_1C_8_1C_16_1C_4_3C_8_3C_16_3C_4_2C_8_2C_16_2C_4_4C_8_4C_16_4TraceMulA_1_7A_3_7A_1_3A_3_3A_1_8A_3_8A_1_1A_3_1A_1_9A_3_9A_1_2A_3_2A_1_10A_3_10A_2_7A_4_7A_4_3A_2_3A_2_8A_4_8A_2_1A_4_1A_2_9A_4_9A_2_2A_4_2A_2_10A_4_10B_7_1B_7_2B_7_3B_7_4B_8_1B_8_2B_8_3B_8_4B_9_1B_9_2B_9_3B_9_4B_10_1B_10_2B_10_3B_10_4C_1_3C_9_3C_1_4C_9_4C_2_3C_10_3C_2_4C_10_4C_3_3C_11_3C_3_4C_11_4C_4_3C_12_3C_4_4C_12_4TraceMulA_1_7A_3_7A_1_11A_3_11A_1_8A_3_8A_1_12A_3_12A_1_9A_3_9A_1_13A_3_13A_1_10A_3_10A_1_14A_3_14A_2_7A_4_7A_2_11A_4_11A_2_12A_4_12A_2_8A_4_8A_2_9A_4_9A_2_13A_4_13A_2_10A_4_10A_2_14A_4_14B_7_13B_7_14B_7_15B_7_16B_8_13B_8_14B_8_15B_8_16B_9_13B_9_14B_9_15B_9_16B_10_13B_10_14B_10_15B_10_16C_9_3C_13_3C_9_4C_13_4C_10_3C_14_3C_10_4C_14_4C_11_3C_15_3C_11_4C_15_4C_12_3C_16_3C_12_4C_16_4TraceMulA_3_3A_3_1A_3_2A_4_3A_4_1A_4_2B_3_1B_4_1B_3_9B_3_2B_4_2B_3_10B_3_3B_4_3B_3_11B_3_4B_4_4B_3_12B_5_1B_1_1B_1_9B_1_2B_5_2B_1_10B_1_3B_5_3B_1_11B_1_4B_5_4B_1_12B_2_1B_6_1B_2_9B_2_2B_6_2B_2_10B_2_3B_6_3B_2_11B_2_4B_6_4B_2_12C_1_1C_1_3C_1_2C_1_4C_2_1C_2_3C_2_2C_2_4C_3_1C_3_3C_3_2C_3_4C_4_1C_4_3C_4_2C_4_4TraceMulA_1_4A_1_5A_1_6A_2_4A_2_5A_2_6B_12_1B_3_5B_4_5B_12_5B_4_9B_12_2B_3_6B_4_6B_12_6B_4_10B_12_3B_3_7B_4_7B_12_7B_4_11B_12_4B_3_8B_4_8B_12_8B_4_12B_13_1B_1_5B_5_5B_13_5B_5_9B_13_2B_1_6B_5_6B_13_6B_5_10B_13_3B_1_7B_5_7B_13_7B_5_11B_13_4B_1_8B_5_8B_13_8B_5_12B_14_1B_2_5B_6_5B_14_5B_6_9B_14_2B_2_6B_6_6B_14_6B_6_10B_14_3B_2_7B_6_7B_14_7B_6_11B_14_4B_2_8B_6_8B_14_8B_6_12C_5_1C_5_3C_5_4C_5_2C_6_1C_6_3C_6_2C_6_4C_7_1C_7_3C_7_2C_7_4C_8_1C_8_3C_8_2C_8_4TraceMulA_1_7A_1_8A_1_9A_1_10A_2_7A_2_8A_2_9A_2_10B_7_5B_7_9B_11_9B_7_6B_7_10B_11_10B_7_11B_7_7B_11_11B_7_8B_7_12B_11_12B_8_5B_3_9B_8_9B_12_9B_8_6B_3_10B_8_10B_12_10B_8_7B_3_11B_8_11B_12_11B_8_8B_3_12B_8_12B_12_12B_9_5B_1_9B_9_9B_13_9B_9_6B_1_10B_9_10B_13_10B_9_7B_1_11B_9_11B_13_11B_9_8B_1_12B_9_12B_13_12B_10_5B_2_9B_10_9B_14_9B_10_6B_2_10B_10_10B_14_10B_10_7B_2_11B_10_11B_14_11B_10_8B_2_12B_10_12B_14_12C_9_1C_9_2C_10_1C_10_2C_11_1C_11_2C_12_1C_12_2TraceMulA_3_7A_3_8A_3_9A_3_10A_4_7A_4_8A_4_9A_4_10B_7_1B_7_9B_7_13B_7_2B_7_10B_7_14B_7_3B_7_11B_7_15B_7_4B_7_12B_7_16B_8_1B_4_9B_8_9B_8_13B_8_2B_4_10B_8_10B_8_14B_8_3B_4_11B_8_11B_8_15B_8_4B_4_12B_8_12B_8_16B_9_1B_5_9B_9_9B_9_13B_9_2B_5_10B_9_10B_9_14B_9_3B_5_11B_9_11B_9_15B_9_4B_5_12B_9_12B_9_16B_10_1B_6_9B_10_9B_10_13B_10_2B_6_10B_10_10B_10_14B_10_3B_6_11B_10_11B_10_15B_10_4B_6_12B_10_12B_10_16C_9_3C_9_4C_10_3C_10_4C_11_3C_11_4C_12_3C_12_4TraceMulA_3_11A_3_12A_3_13A_3_14A_4_11A_4_12A_4_13A_4_14B_11_1B_11_9B_11_13B_11_2B_11_10B_11_14B_11_3B_11_11B_11_15B_11_4B_11_12B_11_16B_12_1B_12_9B_3_13B_4_13B_12_13B_12_2B_12_10B_3_14B_4_14B_12_14B_12_3B_12_11B_3_15B_4_15B_12_15B_12_4B_12_12B_3_16B_4_16B_12_16B_13_1B_13_9B_1_13B_5_13B_13_13B_13_2B_13_10B_1_14B_5_14B_13_14B_13_3B_13_11B_1_15B_5_15B_13_15B_13_4B_13_12B_1_16B_5_16B_13_16B_14_1B_14_9B_2_13B_6_13B_14_13B_14_2B_14_10B_2_14B_6_14B_14_14B_14_3B_14_11B_2_15B_6_15B_14_15B_14_4B_14_12B_2_16B_6_16B_14_16C_13_1C_13_3C_13_2C_13_4C_14_1C_14_3C_14_2C_14_4C_15_1C_15_3C_15_2C_15_4C_16_1C_16_3C_16_2C_16_4TraceMulA_1_3A_1_4A_1_1A_1_5A_1_2A_1_6A_2_3A_2_4A_2_1A_2_5A_2_2A_2_6B_12_1B_3_5B_12_2B_3_6B_12_3B_3_7B_12_4B_3_8B_13_1B_1_5B_13_2B_1_6B_13_3B_1_7B_13_4B_1_8B_14_1B_2_5B_14_2B_2_6B_14_3B_2_7B_14_4B_2_8C_1_1C_5_1C_1_2C_5_2C_2_1C_6_1C_2_2C_6_2C_3_1C_7_1C_3_2C_7_2C_4_1C_8_1C_4_2C_8_2TraceMulA_1_3A_1_8A_1_1A_1_9A_1_2A_1_10A_2_3A_2_8A_2_1A_2_9A_2_2A_2_10B_3_9B_3_10B_3_11B_3_12B_1_9B_1_10B_1_11B_1_12B_2_9B_2_10B_2_11B_2_12C_1_3C_9_3C_1_1C_9_1C_1_4C_9_4C_1_2C_9_2C_2_3C_10_3C_2_1C_10_1C_2_4C_10_4C_2_2C_10_2C_3_3C_11_3C_3_1C_11_1C_3_4C_11_4C_3_2C_11_2C_4_1C_12_1C_4_3C_12_3C_4_2C_12_2C_4_4C_12_4TraceMulA_1_3A_3_3A_1_1A_3_1A_1_2A_3_2A_2_3A_4_3A_2_1A_4_1A_2_2A_4_2B_3_1B_8_1B_3_5B_3_2B_8_2B_3_6B_3_3B_8_3B_3_7B_3_4B_8_4B_3_8B_1_1B_9_1B_1_5B_1_2B_9_2B_1_6B_1_3B_9_3B_1_7B_1_4B_9_4B_1_8B_2_1B_10_1B_2_5B_2_2B_10_2B_2_6B_2_3B_10_3B_2_7B_2_4B_10_4B_2_8C_1_1C_1_2C_2_1C_2_2C_3_1C_3_2C_4_1C_4_2TraceMulA_3_3A_1_4A_3_1A_1_5A_3_2A_1_6A_4_3A_2_4A_4_1A_2_5A_4_2A_2_6B_4_1B_3_5B_4_2B_3_6B_4_3B_3_7B_4_4B_3_8B_5_1B_1_5B_5_2B_1_6B_5_3B_1_7B_5_4B_1_8B_6_1B_2_5B_6_2B_2_6B_6_3B_2_7B_6_4B_2_8C_1_1C_5_3C_1_2C_5_4C_2_1C_6_3C_2_2C_6_4C_3_1C_7_3C_3_2C_7_4C_4_1C_8_3C_4_2C_8_4TraceMulA_3_4A_3_3A_3_1A_3_5A_3_2A_3_6A_4_3A_4_4A_4_1A_4_5A_4_2A_4_6B_4_1B_3_13B_4_2B_3_14B_4_3B_3_15B_4_4B_3_16B_5_1B_1_13B_5_2B_1_14B_5_3B_1_15B_5_4B_1_16B_6_1B_2_13B_6_2B_2_14B_6_3B_2_15B_6_4B_2_16C_1_3C_5_3C_1_4C_5_4C_2_3C_6_3C_2_4C_6_4C_3_3C_7_3C_3_4C_7_4C_4_3C_8_3C_4_4C_8_4TraceMulA_1_11A_1_4A_1_12A_1_5A_1_13A_1_6A_1_14A_2_11A_2_4A_2_12A_2_5A_2_13A_2_6A_2_14B_11_1B_11_5B_11_2B_11_6B_11_3B_11_7B_11_4B_11_8B_12_1B_12_5B_12_2B_12_6B_12_3B_12_7B_12_4B_12_8B_13_1B_13_5B_13_2B_13_6B_13_3B_13_7B_13_4B_13_8B_14_1B_14_5B_14_2B_14_6B_14_3B_14_7B_14_4B_14_8C_5_1C_13_1C_5_2C_13_2C_6_1C_14_1C_6_2C_14_2C_15_1C_7_1C_15_2C_7_2C_8_1C_16_1C_8_2C_16_2Trace(Mul(Matrix(4, 14, [[A_1_1,A_1_2,A_1_3,A_1_4,A_1_5,A_1_6,A_1_7,A_1_8,A_1_9,A_1_10,A_1_11,A_1_12,A_1_13,A_1_14],[A_2_1,A_2_2,A_2_3,A_2_4,A_2_5,A_2_6,A_2_7,A_2_8,A_2_9,A_2_10,A_2_11,A_2_12,A_2_13,A_2_14],[A_3_1,A_3_2,A_3_3,A_3_4,A_3_5,A_3_6,A_3_7,A_3_8,A_3_9,A_3_10,A_3_11,A_3_12,A_3_13,A_3_14],[A_4_1,A_4_2,A_4_3,A_4_4,A_4_5,A_4_6,A_4_7,A_4_8,A_4_9,A_4_10,A_4_11,A_4_12,A_4_13,A_4_14]]),Matrix(14, 16, [[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_1_12,B_1_13,B_1_14,B_1_15,B_1_16],[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_2_12,B_2_13,B_2_14,B_2_15,B_2_16],[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_3_12,B_3_13,B_3_14,B_3_15,B_3_16],[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_4_12,B_4_13,B_4_14,B_4_15,B_4_16],[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,B_5_12,B_5_13,B_5_14,B_5_15,B_5_16],[B_6_1,B_6_2,B_6_3,B_6_4,B_6_5,B_6_6,B_6_7,B_6_8,B_6_9,B_6_10,B_6_11,B_6_12,B_6_13,B_6_14,B_6_15,B_6_16],[B_7_1,B_7_2,B_7_3,B_7_4,B_7_5,B_7_6,B_7_7,B_7_8,B_7_9,B_7_10,B_7_11,B_7_12,B_7_13,B_7_14,B_7_15,B_7_16],[B_8_1,B_8_2,B_8_3,B_8_4,B_8_5,B_8_6,B_8_7,B_8_8,B_8_9,B_8_10,B_8_11,B_8_12,B_8_13,B_8_14,B_8_15,B_8_16],[B_9_1,B_9_2,B_9_3,B_9_4,B_9_5,B_9_6,B_9_7,B_9_8,B_9_9,B_9_10,B_9_11,B_9_12,B_9_13,B_9_14,B_9_15,B_9_16],[B_10_1,B_10_2,B_10_3,B_10_4,B_10_5,B_10_6,B_10_7,B_10_8,B_10_9,B_10_10,B_10_11,B_10_12,B_10_13,B_10_14,B_10_15,B_10_16],[B_11_1,B_11_2,B_11_3,B_11_4,B_11_5,B_11_6,B_11_7,B_11_8,B_11_9,B_11_10,B_11_11,B_11_12,B_11_13,B_11_14,B_11_15,B_11_16],[B_12_1,B_12_2,B_12_3,B_12_4,B_12_5,B_12_6,B_12_7,B_12_8,B_12_9,B_12_10,B_12_11,B_12_12,B_12_13,B_12_14,B_12_15,B_12_16],[B_13_1,B_13_2,B_13_3,B_13_4,B_13_5,B_13_6,B_13_7,B_13_8,B_13_9,B_13_10,B_13_11,B_13_12,B_13_13,B_13_14,B_13_15,B_13_16],[B_14_1,B_14_2,B_14_3,B_14_4,B_14_5,B_14_6,B_14_7,B_14_8,B_14_9,B_14_10,B_14_11,B_14_12,B_14_13,B_14_14,B_14_15,B_14_16]]),Matrix(16, 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],[C_12_1,C_12_2,C_12_3,C_12_4],[C_13_1,C_13_2,C_13_3,C_13_4],[C_14_1,C_14_2,C_14_3,C_14_4],[C_15_1,C_15_2,C_15_3,C_15_4],[C_16_1,C_16_2,C_16_3,C_16_4]]))) = Trace(Mul(Matrix(2, 3, [[A_1_4-A_3_4,A_1_5-A_3_5,A_1_6-A_3_6],[A_2_4-A_4_4,-A_4_5+A_2_5,-A_4_6+A_2_6]]),Matrix(3, 4, [[B_4_1-B_4_5+B_8_5-B_3_13+B_4_13,B_4_2-B_4_6+B_8_6-B_3_14+B_4_14,B_4_3-B_4_7+B_8_7-B_3_15+B_4_15,B_4_4-B_4_8+B_8_8-B_3_16+B_4_16],[B_5_1-B_5_5+B_9_5-B_1_13+B_5_13,B_5_2-B_5_6+B_9_6-B_1_14+B_5_14,B_5_3-B_5_7+B_9_7-B_1_15+B_5_15,B_5_4-B_5_8+B_9_8-B_1_16+B_5_16],[B_6_1-B_6_5+B_10_5-B_2_13+B_6_13,B_6_2-B_6_6+B_10_6-B_2_14+B_6_14,B_6_3-B_6_7+B_10_7-B_2_15+B_6_15,B_6_4-B_6_8+B_10_8-B_2_16+B_6_16]]),Matrix(4, 2, [[C_5_3,C_5_4],[C_6_3,C_6_4],[C_7_3,C_7_4],[C_8_3,C_8_4]])))+Trace(Mul(Matrix(2, 3, [[A_3_4+A_3_8,A_3_5+A_3_9,A_3_6+A_3_10],[A_4_4+A_4_8,A_4_5+A_4_9,A_4_6+A_4_10]]),Matrix(3, 4, [[B_4_9,B_4_10,B_4_11,B_4_12],[B_5_9,B_5_10,B_5_11,B_5_12],[B_6_9,B_6_10,B_6_11,B_6_12]]),Matrix(4, 2, [[C_5_3+C_9_3+C_5_1+C_9_1,C_5_4+C_9_4+C_5_2+C_9_2],[C_6_3+C_10_3+C_6_1+C_10_1,C_6_4+C_10_4+C_6_2+C_10_2],[C_7_3+C_11_3+C_7_1+C_11_1,C_11_4+C_7_4+C_7_2+C_11_2],[C_8_1+C_12_1+C_8_3+C_12_3,C_8_2+C_12_2+C_8_4+C_12_4]])))+Trace(Mul(Matrix(2, 3, [[A_3_4+A_3_12,A_3_5+A_3_13,A_3_6+A_3_14],[A_4_4+A_4_12,A_4_5+A_4_13,A_4_6+A_4_14]]),Matrix(3, 4, [[-B_3_13+B_4_13,-B_3_14+B_4_14,-B_3_15+B_4_15,-B_3_16+B_4_16],[-B_1_13+B_5_13,-B_1_14+B_5_14,-B_1_15+B_5_15,-B_1_16+B_5_16],[-B_2_13+B_6_13,-B_2_14+B_6_14,-B_2_15+B_6_15,-B_2_16+B_6_16]]),Matrix(4, 2, [[C_5_3+C_13_3,C_5_4+C_13_4],[C_6_3+C_14_3,C_6_4+C_14_4],[C_15_3+C_7_3,C_15_4+C_7_4],[C_8_3+C_16_3,C_8_4+C_16_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_7+A_1_11,A_1_8+A_1_12,A_1_9+A_1_13,A_1_10+A_1_14],[A_2_7+A_2_11,A_2_8+A_2_12,A_2_9+A_2_13,A_2_10+A_2_14]]),Matrix(4, 4, [[B_11_9,B_11_10,B_11_11,B_11_12],[B_12_9,B_12_10,B_12_11,B_12_12],[B_13_9,B_13_10,B_13_11,B_13_12],[B_14_9,B_14_10,B_14_11,B_14_12]]),Matrix(4, 2, [[C_9_1+C_13_1+C_9_3+C_13_3,C_9_2+C_13_2+C_9_4+C_13_4],[C_10_1+C_14_1+C_10_3+C_14_3,C_10_2+C_14_2+C_10_4+C_14_4],[C_11_1+C_15_1+C_11_3+C_15_3,C_11_2+C_15_2+C_11_4+C_15_4],[C_12_1+C_16_1+C_12_3+C_16_3,C_12_2+C_16_2+C_12_4+C_16_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_11-A_3_11,A_1_12-A_3_12,A_1_13-A_3_13,A_1_14-A_3_14],[A_2_11-A_4_11,A_2_12-A_4_12,A_2_13-A_4_13,A_2_14-A_4_14]]),Matrix(4, 4, [[B_11_1-B_11_5-B_7_13+B_11_13,B_11_2-B_11_6-B_7_14+B_11_14,B_11_3-B_11_7-B_7_15+B_11_15,B_11_4-B_11_8-B_7_16+B_11_16],[B_12_1-B_12_5+B_3_13-B_8_13+B_12_13,B_12_2-B_12_6+B_3_14-B_8_14+B_12_14,B_12_3-B_12_7+B_3_15-B_8_15+B_12_15,B_12_4-B_12_8+B_3_16-B_8_16+B_12_16],[B_13_1-B_13_5+B_1_13-B_9_13+B_13_13,B_13_2-B_13_6+B_1_14-B_9_14+B_13_14,B_13_3-B_13_7+B_1_15-B_9_15+B_13_15,B_13_4-B_13_8+B_1_16-B_9_16+B_13_16],[B_14_1-B_14_5+B_2_13-B_10_13+B_14_13,B_14_2-B_14_6+B_2_14-B_10_14+B_14_14,B_14_3-B_14_7+B_2_15-B_10_15+B_14_15,B_14_4-B_14_8+B_2_16-B_10_16+B_14_16]]),Matrix(4, 2, [[C_13_1,C_13_2],[C_14_1,C_14_2],[C_15_1,C_15_2],[C_16_1,C_16_2]])))+Trace(Mul(Matrix(2, 4, [[A_3_11,A_1_4+A_3_12,A_1_5+A_3_13,A_1_6+A_3_14],[A_4_11,A_2_4+A_4_12,A_2_5+A_4_13,A_2_6+A_4_14]]),Matrix(4, 4, [[B_11_1-B_11_5,B_11_2-B_11_6,B_11_3-B_11_7,B_11_4-B_11_8],[B_12_1-B_12_5-B_3_13+B_4_13,B_12_2-B_12_6-B_3_14+B_4_14,B_12_3-B_12_7-B_3_15+B_4_15,B_12_4-B_12_8-B_3_16+B_4_16],[B_13_1-B_13_5-B_1_13+B_5_13,B_13_2-B_13_6-B_1_14+B_5_14,B_13_3-B_13_7-B_1_15+B_5_15,B_13_4-B_13_8-B_1_16+B_5_16],[B_14_1-B_14_5-B_2_13+B_6_13,B_14_2-B_14_6-B_2_14+B_6_14,B_14_3-B_14_7-B_2_15+B_6_15,B_14_4-B_14_8-B_2_16+B_6_16]]),Matrix(4, 2, [[C_13_1-C_5_3,C_13_2-C_5_4],[C_14_1-C_6_3,C_14_2-C_6_4],[C_15_1-C_7_3,C_15_2-C_7_4],[C_16_1-C_8_3,C_16_2-C_8_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_7,A_1_3-A_3_3+A_1_8,A_1_1-A_3_1+A_1_9,A_1_2-A_3_2+A_1_10],[A_2_7,A_2_3-A_4_3+A_2_8,A_2_1-A_4_1+A_2_9,A_2_2-A_4_2+A_2_10]]),Matrix(4, 4, [[B_7_1,B_7_2,B_7_3,B_7_4],[B_8_1-B_3_9,B_8_2-B_3_10,B_8_3-B_3_11,B_8_4-B_3_12],[B_9_1-B_1_9,B_9_2-B_1_10,B_9_3-B_1_11,B_9_4-B_1_12],[B_10_1-B_2_9,B_10_2-B_2_10,B_10_3-B_2_11,B_10_4-B_2_12]]),Matrix(4, 2, [[C_1_1+C_1_3+C_9_3,C_1_2+C_1_4+C_9_4],[C_2_1+C_2_3+C_10_3,C_2_2+C_2_4+C_10_4],[C_3_1+C_3_3+C_11_3,C_3_2+C_3_4+C_11_4],[C_4_1+C_4_3+C_12_3,C_4_2+C_4_4+C_12_4]])))+Trace(Mul(Matrix(2, 4, [[-A_3_7,A_1_4-A_3_4-A_3_8,A_1_5-A_3_5-A_3_9,A_1_6-A_3_6-A_3_10],[-A_4_7,A_2_4-A_4_4-A_4_8,-A_4_5+A_2_5-A_4_9,-A_4_6+A_2_6-A_4_10]]),Matrix(4, 4, [[-B_7_5,-B_7_6,-B_7_7,-B_7_8],[-B_8_5+B_4_9,-B_8_6+B_4_10,-B_8_7+B_4_11,-B_8_8+B_4_12],[-B_9_5+B_5_9,-B_9_6+B_5_10,-B_9_7+B_5_11,-B_9_8+B_5_12],[-B_10_5+B_6_9,-B_10_6+B_6_10,-B_10_7+B_6_11,-B_10_8+B_6_12]]),Matrix(4, 2, [[C_5_1+C_9_1+C_5_3,C_5_2+C_9_2+C_5_4],[C_6_1+C_10_1+C_6_3,C_6_2+C_10_2+C_6_4],[C_11_1+C_7_1+C_7_3,C_7_2+C_11_2+C_7_4],[C_8_1+C_12_1+C_8_3,C_8_2+C_12_2+C_8_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_7+A_1_11-A_3_11,A_1_8+A_1_12-A_3_12,A_1_9+A_1_13-A_3_13,A_1_10+A_1_14-A_3_14],[A_2_7+A_2_11-A_4_11,A_2_12-A_4_12+A_2_8,A_2_9+A_2_13-A_4_13,A_2_10+A_2_14-A_4_14]]),Matrix(4, 4, [[-B_11_9+B_7_13,-B_11_10+B_7_14,-B_11_11+B_7_15,-B_11_12+B_7_16],[-B_12_9+B_8_13,-B_12_10+B_8_14,-B_12_11+B_8_15,-B_12_12+B_8_16],[-B_13_9+B_9_13,-B_13_10+B_9_14,-B_13_11+B_9_15,-B_13_12+B_9_16],[-B_14_9+B_10_13,-B_14_10+B_10_14,-B_14_11+B_10_15,-B_14_12+B_10_16]]),Matrix(4, 2, [[C_13_1+C_9_3+C_13_3,C_13_2+C_9_4+C_13_4],[C_14_1+C_10_3+C_14_3,C_14_2+C_10_4+C_14_4],[C_15_1+C_11_3+C_15_3,C_15_2+C_11_4+C_15_4],[C_16_1+C_12_3+C_16_3,C_16_2+C_12_4+C_16_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_7-A_3_7,A_1_4-A_3_4+A_1_8-A_3_8,A_1_5-A_3_5+A_1_9-A_3_9,A_1_6-A_3_6+A_1_10-A_3_10],[A_2_7-A_4_7,A_2_4-A_4_4+A_2_8-A_4_8,-A_4_5+A_2_5+A_2_9-A_4_9,-A_4_6+A_2_6+A_2_10-A_4_10]]),Matrix(4, 4, [[B_7_5,B_7_6,B_7_7,B_7_8],[B_8_5,B_8_6,B_8_7,B_8_8],[B_9_5,B_9_6,B_9_7,B_9_8],[B_10_5,B_10_6,B_10_7,B_10_8]]),Matrix(4, 2, [[C_5_1+C_9_1,C_5_2+C_9_2],[C_6_1+C_10_1,C_6_2+C_10_2],[C_11_1+C_7_1,C_7_2+C_11_2],[C_8_1+C_12_1,C_8_2+C_12_2]])))+Trace(Mul(Matrix(2, 4, [[-A_1_11+A_3_11,A_1_3+A_1_4-A_1_12+A_3_12,A_1_1+A_1_5-A_1_13+A_3_13,A_1_2+A_1_6-A_1_14+A_3_14],[-A_2_11+A_4_11,A_2_3+A_2_4-A_2_12+A_4_12,A_2_1+A_2_5-A_2_13+A_4_13,A_2_2+A_2_6-A_2_14+A_4_14]]),Matrix(4, 4, [[-B_11_1,-B_11_2,-B_11_3,-B_11_4],[-B_12_1+B_3_13,-B_12_2+B_3_14,-B_12_3+B_3_15,-B_12_4+B_3_16],[-B_13_1+B_1_13,-B_13_2+B_1_14,-B_13_3+B_1_15,-B_13_4+B_1_16],[-B_14_1+B_2_13,-B_14_2+B_2_14,-B_14_3+B_2_15,-B_14_4+B_2_16]]),Matrix(4, 2, [[C_13_1-C_1_3-C_5_3+C_13_3,C_13_2-C_1_4-C_5_4+C_13_4],[C_14_1-C_2_3-C_6_3+C_14_3,C_14_2-C_2_4-C_6_4+C_14_4],[C_15_1-C_3_3-C_7_3+C_15_3,C_15_2-C_3_4-C_7_4+C_15_4],[C_16_1-C_4_3-C_8_3+C_16_3,C_16_2-C_4_4-C_8_4+C_16_4]])))+Trace(Mul(Matrix(2, 3, [[A_1_3-A_3_3+A_1_4-A_3_4-A_1_12+A_3_12,A_1_1-A_3_1+A_1_5-A_3_5-A_1_13+A_3_13,A_1_2-A_3_2+A_1_6-A_3_6-A_1_14+A_3_14],[A_2_3-A_4_3+A_2_4-A_4_4-A_2_12+A_4_12,A_2_1-A_4_1+A_2_5-A_4_5-A_2_13+A_4_13,A_2_2-A_4_2+A_2_6-A_4_6-A_2_14+A_4_14]]),Matrix(3, 4, [[B_3_13,B_3_14,B_3_15,B_3_16],[B_1_13,B_1_14,B_1_15,B_1_16],[B_2_13,B_2_14,B_2_15,B_2_16]]),Matrix(4, 2, [[C_1_3+C_5_3-C_13_3,C_1_4+C_5_4-C_13_4],[C_2_3+C_6_3-C_14_3,C_2_4+C_6_4-C_14_4],[C_3_3+C_7_3-C_15_3,C_3_4+C_7_4-C_15_4],[C_4_3+C_8_3-C_16_3,C_4_4+C_8_4-C_16_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_11,-A_1_3-A_1_4+A_1_12,-A_1_1-A_1_5+A_1_13,-A_1_2-A_1_6+A_1_14],[A_2_11,-A_2_3-A_2_4+A_2_12,-A_2_1-A_2_5+A_2_13,-A_2_2-A_2_6+A_2_14]]),Matrix(4, 4, [[B_11_1,B_11_2,B_11_3,B_11_4],[B_12_1,B_12_2,B_12_3,B_12_4],[B_13_1,B_13_2,B_13_3,B_13_4],[B_14_1,B_14_2,B_14_3,B_14_4]]),Matrix(4, 2, [[C_1_1+C_5_1-C_13_1+C_1_3+C_5_3-C_13_3,C_1_2+C_5_2-C_13_2+C_1_4+C_5_4-C_13_4],[C_2_1+C_6_1-C_14_1+C_2_3+C_6_3-C_14_3,C_2_2+C_6_2-C_14_2+C_2_4+C_6_4-C_14_4],[C_3_1+C_7_1-C_15_1+C_3_3+C_7_3-C_15_3,C_3_2+C_7_2-C_15_2+C_3_4+C_7_4-C_15_4],[C_4_1+C_8_1-C_16_1+C_4_3+C_8_3-C_16_3,C_4_2+C_8_2-C_16_2+C_4_4+C_8_4-C_16_4]])))+Trace(Mul(Matrix(2, 4, [[-A_1_7+A_3_7,-A_1_3+A_3_3-A_1_8+A_3_8,-A_1_1+A_3_1-A_1_9+A_3_9,-A_1_2+A_3_2-A_1_10+A_3_10],[-A_2_7+A_4_7,A_4_3-A_2_3-A_2_8+A_4_8,-A_2_1+A_4_1-A_2_9+A_4_9,-A_2_2+A_4_2-A_2_10+A_4_10]]),Matrix(4, 4, [[B_7_1,B_7_2,B_7_3,B_7_4],[B_8_1,B_8_2,B_8_3,B_8_4],[B_9_1,B_9_2,B_9_3,B_9_4],[B_10_1,B_10_2,B_10_3,B_10_4]]),Matrix(4, 2, [[C_1_3+C_9_3,C_1_4+C_9_4],[C_2_3+C_10_3,C_2_4+C_10_4],[C_3_3+C_11_3,C_3_4+C_11_4],[C_4_3+C_12_3,C_4_4+C_12_4]])))+Trace(Mul(Matrix(2, 4, [[-A_1_7+A_3_7-A_1_11+A_3_11,-A_1_8+A_3_8-A_1_12+A_3_12,-A_1_9+A_3_9-A_1_13+A_3_13,-A_1_10+A_3_10-A_1_14+A_3_14],[-A_2_7+A_4_7-A_2_11+A_4_11,-A_2_12+A_4_12-A_2_8+A_4_8,-A_2_9+A_4_9-A_2_13+A_4_13,-A_2_10+A_4_10-A_2_14+A_4_14]]),Matrix(4, 4, [[B_7_13,B_7_14,B_7_15,B_7_16],[B_8_13,B_8_14,B_8_15,B_8_16],[B_9_13,B_9_14,B_9_15,B_9_16],[B_10_13,B_10_14,B_10_15,B_10_16]]),Matrix(4, 2, [[C_9_3+C_13_3,C_9_4+C_13_4],[C_10_3+C_14_3,C_10_4+C_14_4],[C_11_3+C_15_3,C_11_4+C_15_4],[C_12_3+C_16_3,C_12_4+C_16_4]])))+Trace(Mul(Matrix(2, 3, [[A_3_3,A_3_1,A_3_2],[A_4_3,A_4_1,A_4_2]]),Matrix(3, 4, [[B_3_1-B_4_1-B_3_9,B_3_2-B_4_2-B_3_10,B_3_3-B_4_3-B_3_11,B_3_4-B_4_4-B_3_12],[-B_5_1+B_1_1-B_1_9,B_1_2-B_5_2-B_1_10,B_1_3-B_5_3-B_1_11,B_1_4-B_5_4-B_1_12],[B_2_1-B_6_1-B_2_9,B_2_2-B_6_2-B_2_10,B_2_3-B_6_3-B_2_11,B_2_4-B_6_4-B_2_12]]),Matrix(4, 2, [[C_1_1+C_1_3,C_1_2+C_1_4],[C_2_1+C_2_3,C_2_2+C_2_4],[C_3_1+C_3_3,C_3_2+C_3_4],[C_4_1+C_4_3,C_4_2+C_4_4]])))+Trace(Mul(Matrix(2, 3, [[A_1_4,A_1_5,A_1_6],[A_2_4,A_2_5,A_2_6]]),Matrix(3, 4, [[B_12_1-B_3_5+B_4_5-B_12_5-B_4_9,B_12_2-B_3_6+B_4_6-B_12_6-B_4_10,B_12_3-B_3_7+B_4_7-B_12_7-B_4_11,B_12_4-B_3_8+B_4_8-B_12_8-B_4_12],[B_13_1-B_1_5+B_5_5-B_13_5-B_5_9,B_13_2-B_1_6+B_5_6-B_13_6-B_5_10,B_13_3-B_1_7+B_5_7-B_13_7-B_5_11,B_13_4-B_1_8+B_5_8-B_13_8-B_5_12],[B_14_1-B_2_5+B_6_5-B_14_5-B_6_9,B_14_2-B_2_6+B_6_6-B_14_6-B_6_10,B_14_3-B_2_7+B_6_7-B_14_7-B_6_11,B_14_4-B_2_8+B_6_8-B_14_8-B_6_12]]),Matrix(4, 2, [[C_5_1+C_5_3,C_5_4+C_5_2],[C_6_1+C_6_3,C_6_2+C_6_4],[C_7_1+C_7_3,C_7_2+C_7_4],[C_8_1+C_8_3,C_8_2+C_8_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_7,A_1_8,A_1_9,A_1_10],[A_2_7,A_2_8,A_2_9,A_2_10]]),Matrix(4, 4, [[-B_7_5+B_7_9-B_11_9,-B_7_6+B_7_10-B_11_10,B_7_11-B_7_7-B_11_11,-B_7_8+B_7_12-B_11_12],[-B_8_5-B_3_9+B_8_9-B_12_9,-B_8_6-B_3_10+B_8_10-B_12_10,-B_8_7-B_3_11+B_8_11-B_12_11,-B_8_8-B_3_12+B_8_12-B_12_12],[-B_9_5-B_1_9+B_9_9-B_13_9,-B_9_6-B_1_10+B_9_10-B_13_10,-B_9_7-B_1_11+B_9_11-B_13_11,-B_9_8-B_1_12+B_9_12-B_13_12],[-B_10_5-B_2_9+B_10_9-B_14_9,-B_10_6-B_2_10+B_10_10-B_14_10,-B_10_7-B_2_11+B_10_11-B_14_11,-B_10_8-B_2_12+B_10_12-B_14_12]]),Matrix(4, 2, [[C_9_1,C_9_2],[C_10_1,C_10_2],[C_11_1,C_11_2],[C_12_1,C_12_2]])))+Trace(Mul(Matrix(2, 4, [[A_3_7,A_3_8,A_3_9,A_3_10],[A_4_7,A_4_8,A_4_9,A_4_10]]),Matrix(4, 4, [[-B_7_1+B_7_9-B_7_13,-B_7_2+B_7_10-B_7_14,-B_7_3+B_7_11-B_7_15,-B_7_4+B_7_12-B_7_16],[-B_8_1-B_4_9+B_8_9-B_8_13,-B_8_2-B_4_10+B_8_10-B_8_14,-B_8_3-B_4_11+B_8_11-B_8_15,-B_8_4-B_4_12+B_8_12-B_8_16],[-B_9_1-B_5_9+B_9_9-B_9_13,-B_9_2-B_5_10+B_9_10-B_9_14,-B_9_3-B_5_11+B_9_11-B_9_15,-B_9_4-B_5_12+B_9_12-B_9_16],[-B_10_1-B_6_9+B_10_9-B_10_13,-B_10_2-B_6_10+B_10_10-B_10_14,-B_10_3-B_6_11+B_10_11-B_10_15,-B_10_4-B_6_12+B_10_12-B_10_16]]),Matrix(4, 2, [[C_9_3,C_9_4],[C_10_3,C_10_4],[C_11_3,C_11_4],[C_12_3,C_12_4]])))+Trace(Mul(Matrix(2, 4, [[A_3_11,A_3_12,A_3_13,A_3_14],[A_4_11,A_4_12,A_4_13,A_4_14]]),Matrix(4, 4, [[B_11_1-B_11_9+B_11_13,B_11_2-B_11_10+B_11_14,B_11_3-B_11_11+B_11_15,B_11_4-B_11_12+B_11_16],[B_12_1-B_12_9+B_3_13-B_4_13+B_12_13,B_12_2-B_12_10+B_3_14-B_4_14+B_12_14,B_12_3-B_12_11+B_3_15-B_4_15+B_12_15,B_12_4-B_12_12+B_3_16-B_4_16+B_12_16],[B_13_1-B_13_9+B_1_13-B_5_13+B_13_13,B_13_2-B_13_10+B_1_14-B_5_14+B_13_14,B_13_3-B_13_11+B_1_15-B_5_15+B_13_15,B_13_4-B_13_12+B_1_16-B_5_16+B_13_16],[B_14_1-B_14_9+B_2_13-B_6_13+B_14_13,B_14_2-B_14_10+B_2_14-B_6_14+B_14_14,B_14_3-B_14_11+B_2_15-B_6_15+B_14_15,B_14_4-B_14_12+B_2_16-B_6_16+B_14_16]]),Matrix(4, 2, [[C_13_1+C_13_3,C_13_2+C_13_4],[C_14_1+C_14_3,C_14_2+C_14_4],[C_15_1+C_15_3,C_15_2+C_15_4],[C_16_1+C_16_3,C_16_2+C_16_4]])))+Trace(Mul(Matrix(2, 3, [[A_1_3+A_1_4,A_1_1+A_1_5,A_1_2+A_1_6],[A_2_3+A_2_4,A_2_1+A_2_5,A_2_2+A_2_6]]),Matrix(3, 4, [[B_12_1+B_3_5,B_12_2+B_3_6,B_12_3+B_3_7,B_12_4+B_3_8],[B_13_1+B_1_5,B_13_2+B_1_6,B_13_3+B_1_7,B_13_4+B_1_8],[B_14_1+B_2_5,B_14_2+B_2_6,B_14_3+B_2_7,B_14_4+B_2_8]]),Matrix(4, 2, [[C_1_1+C_5_1,C_1_2+C_5_2],[C_2_1+C_6_1,C_2_2+C_6_2],[C_3_1+C_7_1,C_3_2+C_7_2],[C_4_1+C_8_1,C_4_2+C_8_2]])))+Trace(Mul(Matrix(2, 3, [[A_1_3+A_1_8,A_1_1+A_1_9,A_1_2+A_1_10],[A_2_3+A_2_8,A_2_1+A_2_9,A_2_2+A_2_10]]),Matrix(3, 4, [[B_3_9,B_3_10,B_3_11,B_3_12],[B_1_9,B_1_10,B_1_11,B_1_12],[B_2_9,B_2_10,B_2_11,B_2_12]]),Matrix(4, 2, [[C_1_3+C_9_3+C_1_1+C_9_1,C_1_4+C_9_4+C_1_2+C_9_2],[C_2_3+C_10_3+C_2_1+C_10_1,C_2_4+C_10_4+C_2_2+C_10_2],[C_3_3+C_11_3+C_3_1+C_11_1,C_3_4+C_11_4+C_3_2+C_11_2],[C_4_1+C_12_1+C_4_3+C_12_3,C_4_2+C_12_2+C_4_4+C_12_4]])))+Trace(Mul(Matrix(2, 3, [[A_1_3-A_3_3,A_1_1-A_3_1,A_1_2-A_3_2],[A_2_3-A_4_3,A_2_1-A_4_1,A_2_2-A_4_2]]),Matrix(3, 4, [[B_3_1-B_8_1-B_3_5,B_3_2-B_8_2-B_3_6,B_3_3-B_8_3-B_3_7,B_3_4-B_8_4-B_3_8],[B_1_1-B_9_1-B_1_5,B_1_2-B_9_2-B_1_6,B_1_3-B_9_3-B_1_7,B_1_4-B_9_4-B_1_8],[B_2_1-B_10_1-B_2_5,B_2_2-B_10_2-B_2_6,B_2_3-B_10_3-B_2_7,B_2_4-B_10_4-B_2_8]]),Matrix(4, 2, [[C_1_1,C_1_2],[C_2_1,C_2_2],[C_3_1,C_3_2],[C_4_1,C_4_2]])))+Trace(Mul(Matrix(2, 3, [[A_3_3+A_1_4,A_3_1+A_1_5,A_3_2+A_1_6],[A_4_3+A_2_4,A_4_1+A_2_5,A_4_2+A_2_6]]),Matrix(3, 4, [[B_4_1-B_3_5,B_4_2-B_3_6,B_4_3-B_3_7,B_4_4-B_3_8],[B_5_1-B_1_5,B_5_2-B_1_6,B_5_3-B_1_7,B_5_4-B_1_8],[B_6_1-B_2_5,B_6_2-B_2_6,B_6_3-B_2_7,B_6_4-B_2_8]]),Matrix(4, 2, [[C_1_1-C_5_3,C_1_2-C_5_4],[C_2_1-C_6_3,C_2_2-C_6_4],[C_3_1-C_7_3,C_3_2-C_7_4],[C_4_1-C_8_3,C_4_2-C_8_4]])))+Trace(Mul(Matrix(2, 3, [[A_3_4+A_3_3,A_3_1+A_3_5,A_3_2+A_3_6],[A_4_3+A_4_4,A_4_1+A_4_5,A_4_2+A_4_6]]),Matrix(3, 4, [[B_4_1+B_3_13,B_4_2+B_3_14,B_4_3+B_3_15,B_4_4+B_3_16],[B_5_1+B_1_13,B_5_2+B_1_14,B_5_3+B_1_15,B_5_4+B_1_16],[B_6_1+B_2_13,B_6_2+B_2_14,B_6_3+B_2_15,B_6_4+B_2_16]]),Matrix(4, 2, [[C_1_3+C_5_3,C_1_4+C_5_4],[C_2_3+C_6_3,C_2_4+C_6_4],[C_3_3+C_7_3,C_3_4+C_7_4],[C_4_3+C_8_3,C_4_4+C_8_4]])))+Trace(Mul(Matrix(2, 4, [[A_1_11,A_1_4+A_1_12,A_1_5+A_1_13,A_1_6+A_1_14],[A_2_11,A_2_4+A_2_12,A_2_5+A_2_13,A_2_6+A_2_14]]),Matrix(4, 4, [[-B_11_1+B_11_5,-B_11_2+B_11_6,-B_11_3+B_11_7,-B_11_4+B_11_8],[-B_12_1+B_12_5,-B_12_2+B_12_6,-B_12_3+B_12_7,-B_12_4+B_12_8],[-B_13_1+B_13_5,-B_13_2+B_13_6,-B_13_3+B_13_7,-B_13_4+B_13_8],[-B_14_1+B_14_5,-B_14_2+B_14_6,-B_14_3+B_14_7,-B_14_4+B_14_8]]),Matrix(4, 2, [[C_5_1+C_13_1,C_5_2+C_13_2],[C_6_1+C_14_1,C_6_2+C_14_2],[C_15_1+C_7_1,C_15_2+C_7_2],[C_8_1+C_16_1,C_8_2+C_16_2]])))

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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