Linear Algebra
Lecture 26: Complex Matrices; Fast Fourier Transform
Lecture 4: Wrapping Up Fourier Series; Making Sense Of Infinite Sums And Convergence
Lecture 4: Nullspace Of A Matrix(Continued)
Sparsity: algorithms, approximations, and analysis
Lecture 5: Applications to dynamics: eigenvalues of K, solution of Mu'' + Ku = F(t)
Lecture 24: Markov Matrices; Fourier Series
Lecture 24b: Quiz 2 Review
Lecture 31: Change of Basis; Image Compression
Lecture 13: Numerical linear algebra: orthogonalization and A = QR