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(page 58 of 293)
"1. Matrix multiplication, explaining how it generalizes the dot product and is used to represent linear equations (AX=B),
2. The matrix multiplication is not necessarily commutative (AB ≠ BA),
3. The distributive and associative laws for matrix products,
4. The relationship between products and transposes is given by ᵗ(AB) = ᵗB ᵗA,
5. The inverse of a square matrix (A⁻¹) is a matrix where AA⁻¹ = A⁻¹A = I." — Jul 10, 2025 03:16AM
"1. Matrix multiplication, explaining how it generalizes the dot product and is used to represent linear equations (AX=B),
2. The matrix multiplication is not necessarily commutative (AB ≠ BA),
3. The distributive and associative laws for matrix products,
4. The relationship between products and transposes is given by ᵗ(AB) = ᵗB ᵗA,
5. The inverse of a square matrix (A⁻¹) is a matrix where AA⁻¹ = A⁻¹A = I." — Jul 10, 2025 03:16AM
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Mahesh’s 2024 Year in Books
Take a look at Mahesh’s Year in Books, including some fun facts about their reading.
30 books
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9 friends
13 books
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14 friends
18 books
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48 friends
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