20. Cramer's Rule, Inverse Matrix, and Volume

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MIT 18.06 Linear Algebra, Spring 2005
Instructor: Gilbert Strang
View the complete course: http://ocw.mit.edu/18-06S05
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20. Cramer's Rule, Inverse Matrix, and Volume

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matrix theory

linear algebra

systems of equations

vector spaces

determinants

eigenvalues

similarity

positive definite matrices

least-squares approximations

networks

Fourier transforms

Markov processes

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