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Strang±Ð±Âªº±Â½Ò¿ý¼v¬O¥Ñ³Â¶ë½Ñ¶ë¦{ªºLord °òª÷·|±ÂÅv¤©MIT°ªµ¥±Ð¨|¤¤¤ß»s§@¡A¥Ñ¢ÛIT¼v¹³²£«~²Õ(MVP)ºÊ»s,ºô¸ô¼v­µÀ£ÁY¤Î¦ê¬yªA°È«h¥ÑMIT´CÅé¦ê¬y¤ÎÀ£ÁYªA°È²Õ(SMCS)´£¨Ñ¡C
Support for video production of Professor Strang's videotaped lectures was provided by the Lord Foundation of Massachusetts under a grant to the Center for Advanced Educational Services of MIT. MIT Video Productions (MVP) supervised the videotaping and MIT's Streaming Media & Compression Services (SMCS) provided digitizing and web hosting.

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Professor Strang's Class 18.06 Linear Algebra Lecture Videos, Fall 1999

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Lecture #1: The Geometry of Linear Equations

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Lecture #19: Determinant Formulas and Cofactors

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Lecture #2: Elimination with Matrices

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Lecture #20: Cramer's Rule, Inverse Matrix, and Volume

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Lecture #3: Multiplication and Inverse Matrices

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Lecture #21: Eigenvalues and Eigenvectors

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Lecture #4: Factorization into A = LU

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Lecture #22: Diagonalization and Powers of A

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Lecture #5: Transposes, Permutations, Spaces R^n

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Lecture #23: Differential Equations and exp(At)

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Lecture #6: Column Space and Nullspace

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Lecture #24 : Markov Matrices; Fourier Series

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Lecture #7: Solving Ax = 0: Pivot Variables, Special Solutions

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Lecture #24.5 : Quiz 2 Review

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Lecture #8: Solving Ax = b: Row Reduced Form R

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Lecture #25 : Symmetric Matrices and Positive Definiteness

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Lecture #9: Independence, Basis, and Dimension

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Lecture #26 : Complex Matrices; Fast Fourier Transform

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Lecture #10: The Four Fundamental Subspaces

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Lecture #27 : Positive Definite Matrices and Minima

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Lecture #11: Matrix Spaces; Rank 1; Small World Graphs

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Lecture #28 : Similar Matrices and Jordan Form

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Lecture #12: Graphs, Networks, Incidence Matrices

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Lecture #29 : Singular Value Decomposition

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Lecture #13: Quiz 1 Review

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Lecture #30 : Linear Transformations and Their Matrices

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Lecture #14: Orthogonal Vectors and Subspaces

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Lecture #31: Change of Basis; Image Compression

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Lecture #15: Projections onto Subspaces

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Lecture #32: Quiz 3 Review

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Lecture #16: Projection Matrices and Least Squares

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Lecture #33: Left and Right Inverses; Pseudoinverse

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Lecture #17: Orthogonal Matrices and Gram-Schmidt

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Lecture #34: Final Course Review

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Lecture #18: Properties of Determinants

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