About
Course Highlights
This course features a complete set of video lectures by Professor Gilbert Strang. There are also Java applets with sound as well as interactive Java applets. The text for this class is Introduction to Linear Algebra by Gilbert Strang.
Course Description
This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.
Course Homepage 18.06 Linear Algebra Spring 2005
Course features at MIT OpenCourseWare page: *Syllabus *Calendar *Readings *Assignment *Exams *Tools *Study Materials *Related Resources *Download Course Materials
Complete MIT OCW video collection at MIT OpenCourseWare - VideoLectures.NET
Related categories
Uploaded videos:
Lecture 1: The Geometry of Linear Equations
Feb 10, 2009
ยท
105194 Views
Lecture 2: Elimination with Matrices
Feb 10, 2009
ยท
41361 Views
Lecture 3: Multiplication and Inverse Matrices
Feb 10, 2009
ยท
25302 Views
Lecture 4: Factorization into A = LU
Feb 10, 2009
ยท
30242 Views
Lecture 5: Transposes, Permutations, Spaces R^n
Feb 10, 2009
ยท
19147 Views
Lecture 6: Column Space and Nullspace
Feb 10, 2009
ยท
22097 Views
Lecture 7: Solving Ax = 0: Pivot Variables, Special Solutions
Feb 10, 2009
ยท
18654 Views
Lecture 8: Solving Ax = b: Row Reduced Form R
Feb 10, 2009
ยท
16232 Views
Lecture 9: Independence, Basis, and Dimension
Feb 10, 2009
ยท
17533 Views
Lecture 10: The Four Fundamental Subspaces
Feb 10, 2009
ยท
16151 Views
Lecture 11: Matrix Spaces; Rank 1; Small World Graphs
Feb 10, 2009
ยท
13799 Views
Lecture 12: Graphs, Networks, Incidence Matrices
Feb 10, 2009
ยท
11920 Views
Lecture 13: Quiz 1 Review
Feb 10, 2009
ยท
12232 Views
Lecture 14: Orthogonal Vectors and Subspaces
Feb 10, 2009
ยท
16218 Views
Lecture 15: Projections onto Subspaces
Feb 10, 2009
ยท
14170 Views
Lecture 16: Projection Matrices and Least Squares
Feb 10, 2009
ยท
13783 Views
Lecture 17: Orthogonal Matrices and Gram-Schmidt
Feb 10, 2009
ยท
13201 Views
Lecture 18: Properties of Determinants
Feb 10, 2009
ยท
11300 Views
Lecture 19: Determinant Formulas and Cofactors
Feb 10, 2009
ยท
11794 Views
Lecture 20: Cramer's Rule, Inverse Matrix, and Volume
Feb 10, 2009
ยท
11467 Views
Lecture 21: Eigenvalues and Eigenvectors
Feb 10, 2009
ยท
23182 Views
Lecture 22: Diagonalization and Powers of A
Feb 10, 2009
ยท
13784 Views
Lecture 23: Differential Equations and exp(At)
Feb 10, 2009
ยท
12151 Views
Lecture 24: Markov Matrices; Fourier Series
Feb 10, 2009
ยท
10237 Views
Lecture 24b: Quiz 2 Review
Feb 10, 2009
ยท
7485 Views
Lecture 25: Symmetric Matrices and Positive Definiteness
Feb 10, 2009
ยท
10056 Views
Lecture 26: Complex Matrices; Fast Fourier Transform
Feb 10, 2009
ยท
9650 Views
Lecture 27: Positive Definite Matrices and Minima
Feb 10, 2009
ยท
9650 Views
Lecture 28: Similar Matrices and Jordan Form
Feb 10, 2009
ยท
10003 Views
Lecture 29: Singular Value Decomposition
Feb 10, 2009
ยท
17460 Views
Lecture 30: Linear Transformations and Their Matrices
Feb 10, 2009
ยท
10499 Views
Lecture 31: Change of Basis; Image Compression
Feb 10, 2009
ยท
13534 Views
Lecture 32: Quiz 3 Review
Feb 10, 2009
ยท
7203 Views
Lecture 33: Left and Right Inverses; Pseudoinverse
Feb 10, 2009
ยท
8138 Views
Lecture 34: Final Course Review
Feb 10, 2009
ยท
7828 Views