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The Big Picture of Linear Algebra
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MIT RES.18-009 Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler, Fall 2015
Instructor: Gilbert Strang
A matrix produces four subspaces: column space, row space (same dimension), the space of vectors perpendicular to all rows (the nullspace), and the space of vectors perpendicular to all columns.
License: Creative Commons BY-NC-SA
Instructor: Gilbert Strang
A matrix produces four subspaces: column space, row space (same dimension), the space of vectors perpendicular to all rows (the nullspace), and the space of vectors perpendicular to all columns.
License: Creative Commons BY-NC-SA
The Big Picture of Linear Algebra
Part 2: The Big Picture of Linear Algebra
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Gilbert Strang: Linear Algebra vs Calculus
Big Picture Linear Systems Three Variables
CalcBLUE 1 : Ch. 12 : THE BIG PICTURE
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Linear transformations and matrices | Chapter 3, Essence of linear algebra
The BIG Picture: Three Dimensional Time Applied to Minkowski Diagram
The Column Space of a Matrix
V1-1: Linear Programming, introduction
Linear Algebra 11b: A Look Ahead - An Illustration of Matrix Algebra
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
Abstract vector spaces | Chapter 16, Essence of linear algebra
Linear Systems: 1-Big picture of modeling
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