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Vectors | Chapter 1, Essence of linear algebra
 
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
 
Linear transformations and mastrices | Chapter 3, Essence of linear algebra
 
 
Matrix multiplication as composition / Chapter 4, Essence of linear algebra
 
 
Three-dimensional Finear transformations | Chapter 5, Esence of linear algebra
 
 
The determinant | Chapter 6, Essence of Finear algebra
 
 
Inverse matrices, column space and null space | Chapter 7, Essence of [near algebra
 
 
Linear algebra
 
 
 
Nonsquare matrices as transformations between dimensions | Chapter 8, Esence of linear algebra
 
 
 
Dot products and duality  Chapter 9, Essence of linesir algebra
 
 
Cross products | Chapter 10, Essence of linear algebra
 
 
 
Cross products in the light of linear transformstions | Chapter 11, Essence of linear algebra
 
 
 
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
 
 
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
 
 
 
Abstract vector spaces | Chapter 16, Essence of linear algebra
 
Ap Statistics NotesEssence of calculus
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现代数学启蒙
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