computing the nullspace
(2.8 hours to learn)
The nullspace of a matrix can be computed using Gaussian elimination.
This concept has the prerequisites:
- Be able to compute the basis for the nullspace using Gaussian elimination
Core resources (read/watch one of the following)
→ MIT Open Courseware: Linear Algebra (2011)
Videos for an introductory linear algebra course focusing on numerical methods.
→ Khan Academy: Linear Algebra
→ Introduction to Linear Algebra
An introductory linear algebra textbook with an emphasis on numerical methods.
Location: Sections 3.2, "The nullspace of A: solving Ax = 0," pages 132-140, and 3.3, "The rank and the row reduced form," pages 144-149
-No Additional Notes-
- create concept: shift + click on graph
- change concept title: shift + click on existing concept
- link together concepts: shift + click drag from one concept to another
- remove concept from graph: click on concept then press delete/backspace
- add associated content to concept: click the small circle that appears on the node when hovering over it
- other actions: use the icons in the upper right corner to optimize the graph placement, preview the graph, or download a json representation