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.ipynb_checkpoints
.ipynb_checkpoints
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
01_Getting_started.ipynb
01_Getting_started.ipynb
 
 
02_Fun_with_algebra.ipynb
02_Fun_with_algebra.ipynb
 
 
03_Introduction_to_matrices.ipynb
03_Introduction_to_matrices.ipynb
 
 
04_Lecture_I_01_Geometric_view_of_linear_algebra.ipynb
04_Lecture_I_01_Geometric_view_of_linear_algebra.ipynb
 
 
05_Lecture_I_02_Overview_of_ideas_to_come.ipynb
05_Lecture_I_02_Overview_of_ideas_to_come.ipynb
 
 
06_Lecture_I_03_Elimination.ipynb
06_Lecture_I_03_Elimination.ipynb
 
 
07_Lecture_I_04_Matrix_multiplication_Inverses.ipynb
07_Lecture_I_04_Matrix_multiplication_Inverses.ipynb
 
 
08_Lecture_I_05_LU_decomposition_of_A.ipynb
08_Lecture_I_05_LU_decomposition_of_A.ipynb
 
 
09_Lecture_I_06_Transposes_Permutations_Spaces.ipynb
09_Lecture_I_06_Transposes_Permutations_Spaces.ipynb
 
 
10_Lecture_I_07_Column_and_null_spaces.ipynb
10_Lecture_I_07_Column_and_null_spaces.ipynb
 
 
11_Lecture_I_08_Solving_homogeneous_systems_Pivot_variables_Special_solutions.ipynb
11_Lecture_I_08_Solving_homogeneous_systems_Pivot_variables_Special_solutions.ipynb
 
 
12_Lecture_I_09_Solving_nonhomogeneous_systems.ipynb
12_Lecture_I_09_Solving_nonhomogeneous_systems.ipynb
 
 
13_Lecture_I_10_Independence_Spanning_Basis_Dimension.ipynb
13_Lecture_I_10_Independence_Spanning_Basis_Dimension.ipynb
 
 
14_Lecture_I_11_Subspaces.ipynb
14_Lecture_I_11_Subspaces.ipynb
 
 
3d.png
3d.png
 
 
Graph1.png
Graph1.png
 
 
Graph2.png
Graph2.png
 
 
III_01_Symmetric_matrices.ipynb
III_01_Symmetric_matrices.ipynb
 
 
III_02_Complex_matrices_FFT.ipynb
III_02_Complex_matrices_FFT.ipynb
 
 
III_03_Positive_definite_matrix_Minima_Ellipsoid.ipynb
III_03_Positive_definite_matrix_Minima_Ellipsoid.ipynb
 
 
III_04_Similar_matrices_Jordan_form.ipynb
III_04_Similar_matrices_Jordan_form.ipynb
 
 
III_05_Singular_value_decomposition.ipynb
III_05_Singular_value_decomposition.ipynb
 
 
III_06_Linear_transformations.ipynb
III_06_Linear_transformations.ipynb
 
 
III_07_Image_compression_Change_of_basis.ipynb
III_07_Image_compression_Change_of_basis.ipynb
 
 
III_08_Left_and_right_inverses_Pseudoinverses.ipynb
III_08_Left_and_right_inverses_Pseudoinverses.ipynb
 
 
III_09_Quiz_review.ipynb
III_09_Quiz_review.ipynb
 
 
III_10_Final_exam_review.ipynb
III_10_Final_exam_review.ipynb
 
 
II_01_Orthogonality_of_vectors_and_subspaces.ipynb
II_01_Orthogonality_of_vectors_and_subspaces.ipynb
 
 
II_02_Projection_onto_subspaces.ipynb
II_02_Projection_onto_subspaces.ipynb
 
 
II_03_Projection_matrices_and_least_squares.ipynb
II_03_Projection_matrices_and_least_squares.ipynb
 
 
II_04_Orthogonal_matrices_Gram_Schmidt.ipynb
II_04_Orthogonal_matrices_Gram_Schmidt.ipynb
 
 
II_05_Properties_of_the_determinant.ipynb
II_05_Properties_of_the_determinant.ipynb
 
 
II_06_Determinant_formulas_and_cofactors.ipynb
II_06_Determinant_formulas_and_cofactors.ipynb
 
 
II_07_Equations_for_the_inverse_Cramer_rule_Volume_of_a_box.ipynb
II_07_Equations_for_the_inverse_Cramer_rule_Volume_of_a_box.ipynb
 
 
II_08_Eigenvalues_and_eigenvectors.ipynb
II_08_Eigenvalues_and_eigenvectors.ipynb
 
 
II_09_Diagonalization_and_Powers.ipynb
II_09_Diagonalization_and_Powers.ipynb
 
 
II_10_Differential_equations_Exponential_of_a_matrix.ipynb
II_10_Differential_equations_Exponential_of_a_matrix.ipynb
 
 
II_11_Markov_matrices_Projections_and_Fourier_series.ipynb
II_11_Markov_matrices_Projections_and_Fourier_series.ipynb
 
 
I_12_Matrix_spaces.ipynb
I_12_Matrix_spaces.ipynb
 
 
I_13_Graphs_Incidence_matrices_Kirchhoff_laws.ipynb
I_13_Graphs_Incidence_matrices_Kirchhoff_laws.ipynb
 
 
I_14_Exam_review.ipynb
I_14_Exam_review.ipynb
 
 
KRG_elegant_logo_for_light_BG.png
KRG_elegant_logo_for_light_BG.png
 
 
Line.PNG
Line.PNG
 
 
MIT_OCW_18_06_Linear_algebra.zip
MIT_OCW_18_06_Linear_algebra.zip
 
 
Orthogonal projection in the plane.png
Orthogonal projection in the plane.png
 
 
README.md
README.md
 
 
UCT_logo.gif
UCT_logo.gif
 
 
W.png
W.png
 
 
figure_1.png
figure_1.png
 
 
style.css
style.css
 
 

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MIT_OCW_Linear_Algebra_18_06

These are the Jupyter notebooks, in python, for Gilbert Strang's MIT course on linear algebra (MIT 18.06). The lectures for these are avalable online (MIT OCW). I have started to create new notebooks that are more verbose.

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IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

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linear-algebra

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