Lecture 14: Orthogonal vectors and subspaces | Linear Algebra | Mathematics | MIT OpenCourseWare
Vectors are easier to understand when they’re described in terms of orthogonal bases. In addition, the Four Fundamental Subspaces are orthogonal to each other in pairs. If A is a rectangular matrix, Ax = b is often unsolvable. These video lectures of Pro
ocw.mit.edu
