MIT 18.06 Linear Algebra Spring 2005
70 Videos · Aug 26, 1999
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
Videos
Unit I: Ax = b and the Four Subspaces
Graphs and Networks
Sep 4, 2019
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3 views
Solving Ax=b
Sep 4, 2019
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3 views
LU Decomposition
Sep 4, 2019
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3 views
Subspaces of Three Dimensional Space
Feb 18, 2024
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3 views
Elimination with Matrices
Sep 4, 2019
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5 views
Exam 1 Problem Solving
Sep 4, 2019
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4 views
Computing the Four Fundamental Subspaces
Sep 4, 2019
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3 views
Basis and Dimension
Sep 4, 2019
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3 views
Solving Ax=0
Sep 4, 2019
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4 views
Inverse Matrices
Sep 4, 2019
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3 views
Geometry of Linear Algebra
Sep 4, 2019
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6 views
Matrix Spaces
Sep 4, 2019
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4 views
Vector Subspaces
Sep 4, 2019
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3 views
An Overview of Key Ideas
Sep 4, 2019
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6 views
Unit II: Least Squares, Determinants and Eigenvalues
Eigenvalues and Eigenvectors
Sep 4, 2019
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2 views
Determinants and Volume
Sep 4, 2019
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4 views
Properties of Determinants
Sep 4, 2019
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4 views
Orthogonal Vectors and Subspaces
Feb 18, 2024
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0 views
Markov Matrices
Sep 4, 2019
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2 views
Differential Equations and exp(At)
Sep 4, 2019
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2 views
Least Squares Approximation
Sep 4, 2019
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5 views
Exam 2 Problem Solving
Sep 4, 2019
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2 views
Determinants
Sep 4, 2019
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3 views
Powers of a Matrix
Sep 4, 2019
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3 views
Gram-Schmidt Orthogonalization
Sep 4, 2019
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3 views
Projection onto Subspaces
Sep 4, 2019
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1 views
Unit III: Positive Definite Matrices and Applications
Complex Matrices
Sep 4, 2019
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3 views
Pseudoinverses
Sep 4, 2019
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3 views
Change of Basis
Sep 4, 2019
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3 views
Similar Matrices
Sep 4, 2019
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2 views
Exam 3 Problem Solving
Sep 4, 2019
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4 views
Linear Transformations
Sep 4, 2019
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3 views
Positive Definite Matrices and Minima
Sep 4, 2019
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5 views
Computing the Singular Value Decomposition
Sep 4, 2019
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3 views
Final Course Review
Final Exam Problem Solving
Sep 4, 2019
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2 views
Lecture 4: Factorization into A = LU
Feb 10, 2009
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30312 views
Lecture 1: The Geometry of Linear Equations
Feb 10, 2009
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105239 views
Lecture 9: Independence, Basis, and Dimension
Feb 10, 2009
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17538 views
Lecture 8: Solving Ax = b: Row Reduced Form R
Feb 10, 2009
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16236 views
Lecture 29: Singular Value Decomposition
Feb 10, 2009
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17467 views
Lecture 12: Graphs, Networks, Incidence Matrices
Feb 10, 2009
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11927 views
Lecture 14: Orthogonal Vectors and Subspaces
Feb 10, 2009
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16224 views
Lecture 32: Quiz 3 Review
Feb 10, 2009
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7209 views
Lecture 26: Complex Matrices; Fast Fourier Transform
Feb 10, 2009
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9655 views
Lecture 5: Transposes, Permutations, Spaces R^n
Feb 10, 2009
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19153 views
Lecture 31: Change of Basis; Image Compression
Feb 10, 2009
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13548 views
Lecture 11: Matrix Spaces; Rank 1; Small World Graphs
Feb 10, 2009
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13808 views
Lecture 13: Quiz 1 Review
Feb 10, 2009
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12241 views
Lecture 33: Left and Right Inverses; Pseudoinverse
Feb 10, 2009
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8147 views
Lecture 30: Linear Transformations and Their Matrices
Feb 10, 2009
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10507 views
Lecture 24b: Quiz 2 Review
Feb 10, 2009
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7490 views
Lecture 18: Properties of Determinants
Feb 10, 2009
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11305 views
Lecture 23: Differential Equations and exp(At)
Feb 10, 2009
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12158 views
Lecture 22: Diagonalization and Powers of A
Feb 10, 2009
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13792 views
Lecture 6: Column Space and Nullspace
Feb 10, 2009
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22117 views
Lecture 27: Positive Definite Matrices and Minima
Feb 10, 2009
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9661 views
Lecture 3: Multiplication and Inverse Matrices
Feb 10, 2009
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25309 views
Lecture 15: Projections onto Subspaces
Feb 10, 2009
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14175 views
Lecture 28: Similar Matrices and Jordan Form
Feb 10, 2009
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10008 views
Lecture 16: Projection Matrices and Least Squares
Feb 10, 2009
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13791 views
Lecture 21: Eigenvalues and Eigenvectors
Feb 10, 2009
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23195 views
Lecture 10: The Four Fundamental Subspaces
Feb 10, 2009
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16161 views
Lecture 2: Elimination with Matrices
Feb 10, 2009
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41374 views
Lecture 17: Orthogonal Matrices and Gram-Schmidt
Feb 10, 2009
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13207 views
Lecture 20: Cramer's Rule, Inverse Matrix, and Volume
Feb 10, 2009
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11474 views
Lecture 34: Final Course Review
Feb 10, 2009
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7836 views
Lecture 7: Solving Ax = 0: Pivot Variables, Special Solutions
Feb 10, 2009
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18660 views
Lecture 19: Determinant Formulas and Cofactors
Feb 10, 2009
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11798 views
Lecture 25: Symmetric Matrices and Positive Definiteness
Feb 10, 2009
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10063 views
Lecture 24: Markov Matrices; Fourier Series
Feb 10, 2009
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10246 views