## Video-lecture with most views in linear algebra

# Eigenvalues and Eigenvectors - Linear Algebra - Gilbert Strang - Lecture 21 of 34

Eigenvalues and Eigenvectors by Gilbert Strang of MIT in Lecture 21. Eigenvalues play important role in Matrices solving.

# Cramer's Rule, Inverse Matrix, and Volume - Linear Algebra - Gilbert Strang - Lecture 20 of 34

Cramer's Rule, Inverse Matrix, and Volume by Gilbert Strang of MIT in Lecture 20. Cramer's rule is considered to be the important part in Matrices.

# Graphs, Networks, Incidence Matrices - Linear Algebra - Gilbert Strang - Lecture 12 of 34

Graphs, Networks, Incidence Matrices by Gilbert Strang of MIT in Lecture 12.

# Markov Matrices, Fourier Series - Linear Algebra - Gilbert Strang - Lecture 24 of 34

Markov Matrices; Fourier Series by Gilbert Strang of MIT in Lecture 24. Fourier series are important all around.

# Factorization into A = LU - Linear Algebra - Gilbert Strang - Lecture 4 of 34

Factorization into A = LU by Gilbert Strang is discussed here in lecture 4.