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chapter essence

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  1. A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebraEssence of linear algebraNotes
  2. Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebraEssence of linear algebraNotes
  3. The other way to visualize derivatives | Chapter 12, Essence of calculusEssence of calculusNotes
  4. Taylor series | Chapter 11, Essence of calculusEssence of calculusNotes
  5. Higher order derivatives | Chapter 10, Essence of calculusEssence of calculusNotes
  6. What does area have to do with slope? | Chapter 9, Essence of calculusEssence of calculusNotes
  7. Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculusEssence of calculusNotes
  8. Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculusEssence of calculusNotes
  9. Implicit differentiation, what's going on here? | Chapter 6, Essence of calculusEssence of calculusNotes
  10. What's so special about Euler's number e? | Chapter 5, Essence of calculusEssence of calculusNotes
  11. Visualizing the chain rule and product rule | Chapter 4, Essence of calculusEssence of calculusNotes
  12. Derivative formulas through geometry | Chapter 3, Essence of calculusEssence of calculusNotes
  13. Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebraEssence of linear algebraNotes
  14. Change of basis | Chapter 13, Essence of linear algebraEssence of linear algebraNotes
  15. Cross products | Chapter 10, Essence of linear algebraEssence of linear algebraNotes
  16. Cross products in the light of linear transformations | Chapter 11, Essence of linear algebraEssence of linear algebraNotes
  17. Dot products and duality | Chapter 9, Essence of linear algebraEssence of linear algebraNotes
  18. Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebraEssence of linear algebraNotes
  19. Inverse matrices, column space and null space | Chapter 7, Essence of linear algebraEssence of linear algebraNotes
  20. The determinant | Chapter 6, Essence of linear algebraEssence of linear algebraNotes
  21. Three-dimensional linear transformations | Chapter 5, Essence of linear algebraEssence of linear algebraNotes
  22. Matrix multiplication as composition | Chapter 4, Essence of linear algebraEssence of linear algebraNotes
  23. Linear transformations and matrices | Chapter 3, Essence of linear algebraEssence of linear algebraNotes
  24. Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebraEssence of linear algebraNotes
  25. Vectors | Chapter 1, Essence of linear algebraEssence of linear algebraNotes