Lecture 12-Graphs, Networks, Incidence Matrices Video Lecture:

Click to Dim the Lights

Lecture 12-Graphs, Networks, Incidence Matrices
This course features a complete set of video lectures by Professor Gilbert Strang of MIT.This course 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. The course content includes The Geometry of Linear Equations, Elimination with Matrices, Multiplication and Inverse Matrices, Transposes, Permutations, Column Space and Nullspace, The Four Fundamental Subspaces, Orthogonal Vectors and Subspaces, Properties of Determinants, Cramer's Rule, Inverse Matrix, and Volume and lot more...