Course Introduction | MIT 18.06SC Linear Algebra
Course Introduction | MIT 18.06SC Linear Algebra
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Gil Strang's Final 18.06 Linear Algebra Lecture
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Gil Strang's Final 18.06 Linear Algebra Lecture
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Intro: A New Way to Start Linear Algebra
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Intro: A New Way to Start Linear Algebra
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2. Linear Algebra
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2. Linear Algebra
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Course Introduction | MIT 18.06SC Linear Algebra
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Course Introduction | MIT 18.06SC Linear Algebra
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2. Elimination with Matrices.
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2. Elimination with Matrices.
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Geometry of Linear Algebra
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Geometry of Linear Algebra
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Lecture 4: Linear Algebra (cont.); Probability Theory
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1. The Geometry of Linear Equations
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4. Factorization into A = LU
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50:14
9. Independence, Basis, and Dimension
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30. Linear Transformations and Their Matrices
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3. Multiplication and Inverse Matrices
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The Four Fundamental Subspaces and Least Squares
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10. The Four Fundamental Subspaces
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6. Column Space and Nullspace
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15. Projections onto Subspaces
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16. Projection Matrices and Least Squares
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Elimination with Matrices
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7:43
An Overview of Key Ideas
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An Interview with Gilbert Strang on Teaching Linear Algebra
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Vector Subspaces
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47:40
13. Quiz 1 Review
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Rec 1 | MIT 18.085 Computational Science and Engineering I, Fall 2008
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7. Solving Ax = 0: Pivot Variables, Special Solutions
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Lecture 1: The Column Space of A Contains All Vectors Ax
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12. Graphs, Networks, Incidence Matrices
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Lec 1 | MIT 18.085 Computational Science and Engineering I, Fall 2008
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Markov Matrices
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Part III: Linear Algebra, Lec 1: Vector Spaces
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