In this Linear Algebra Review lesson, the instructor reviews chapter 6, which covers finding eigenvalues and eigenvectors, the properties of symmetric matrices, and the concept of similar matrices. The lesson includes example problems and a discussion of the conditions for diagonalizability, symmetry, and positive definiteness. The instructor also mentions the singular value decomposition (SVD) and its relevance in linear algebra.
Quiz Review for Linear Algebra -- Lecture 32. Review and example problems from the third part of Linear Algebra.
Gilbert Strang, 18.06 Linear Algebra, Spring 2005. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed November 23, 2008). License: Creative Commons BY-NC-SA.
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