chapter essence linear

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1. 1▶A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebraEssence of linear algebraNotes
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2. 2▶Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebraEssence of linear algebraNotes
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3. 3▶Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebraEssence of linear algebraNotes
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4. 4▶Change of basis | Chapter 13, Essence of linear algebraEssence of linear algebraNotes
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5. 5▶Cross products | Chapter 10, Essence of linear algebraEssence of linear algebraNotes
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6. 6▶Cross products in the light of linear transformations | Chapter 11, Essence of linear algebraEssence of linear algebraNotes
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7. 7▶Dot products and duality | Chapter 9, Essence of linear algebraEssence of linear algebraNotes
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8. 8▶Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebraEssence of linear algebraNotes
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9. 9▶Inverse matrices, column space and null space | Chapter 7, Essence of linear algebraEssence of linear algebraNotes
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10. 10▶The determinant | Chapter 6, Essence of linear algebraEssence of linear algebraNotes
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11. 11▶Three-dimensional linear transformations | Chapter 5, Essence of linear algebraEssence of linear algebraNotes
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12. 12▶Matrix multiplication as composition | Chapter 4, Essence of linear algebraEssence of linear algebraNotes
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13. 13▶Linear transformations and matrices | Chapter 3, Essence of linear algebraEssence of linear algebraNotes
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14. 14▶Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebraEssence of linear algebraNotes
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15. 15▶Vectors | Chapter 1, Essence of linear algebraEssence of linear algebraNotes
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