..
|
Chutes-and-Ladders.ipynb
|
Circulant-Matrices.ipynb
|
Complexity.ipynb
|
Conditioning.ipynb
|
Dense-and-Sparse.ipynb
|
Determinants.ipynb
|
Diagonalization.ipynb
|
Eigenvalue-Intro.ipynb
|
Eigenvalue-Polynomials.ipynb
|
Elimination-matrices.ipynb
|
Fibonacci.ipynb
|
Gauss-Jordan.ipynb
|
Gaussian-elimination.ipynb
|
Gram-Schmidt.ipynb
|
Graphs-Networks.ipynb
|
Inverses-LU-intro.ipynb
|
LU-for-real.ipynb
|
Least-Square Fitting.ipynb
|
Linear Transformations.ipynb
|
Lower-Triangular-and-Elimination.ipynb
|
Machine-Learning-with-Gaussian-elimination.ipynb
|
Markov.ipynb
|
Matrix-Exponentials.ipynb
|
Matrix-mult-perspectives.ipynb
|
Multidimensional-Newton.ipynb
|
ODEs.ipynb
|
Orthogonal-Polynomials.ipynb
|
Perron-Frobenius.ipynb
|
Power-Method.ipynb
|
Projections.ipynb
|
SVD-eigenproblem.ipynb
|
SVD-intro.ipynb
|
SVD.ipynb
|
Sample Variance division by n-1.ipynb
|
Sine-series.ipynb
|
Singular.ipynb
|
Statistics-and-PCA.ipynb
|
Transposes.ipynb
|
1806overview.pdf
|
1806overview.pptx
|
circuit.png
|
cookie-strang-book.jpg
|
cyclic-springs.png
|
eigshow.jl
|
jordan-vectors.lyx
|
jordan-vectors.pdf
|