[개인 보관용]

Ⅰ- 7. Solving $ A \mathbf{x} = \mathbf{0} $; Pivot Variables, Special Solutions

Ⅰ- 6. Column Space and Nullspace

Ⅰ- 5. Transposes, Permutations, Vector Spaces

Ⅰ- 4. Factorization into $ A = LU $

Ⅰ- 3. Multiplication and Inverse Matrices

Ⅰ- 2. Elimination with Matrices

Ⅰ- 1. The Geometry of Linear Equations

0. 목차

Original Source: https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/ Linear Algebra | Mathematics | MIT OpenCourseWare This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering. It parallels the combination of theory and applications in Professor Stra ocw.mit.edu ..