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*find the least squares solution for a set of data
*find the least squares solution for a set of data
*use known characteristics of symmetric or diagonalizable matrices to find solutions
*use known characteristics of symmetric or diagonalizable matrices to find solutions
== Liberal agenda in linear algebra ==
The study of linear algebra has long had a huge liberal bias, beginning from two of its main constituents, [[Carl Friedrich Gauss]] and [[Wilhelm Jordan]], who were both unfaithful rationalists. From the established terminology of linear algebra, one can see liberals attempting to "rewrite" the classical mathematical terms to suit their radical tastes.
The idea of a [[determinant]] attempts to associate all of the entries of a matrix with a single value. This is much like what liberal politicians such as [[Barack Obama]] are attempting to do to the American public, by generalizing every free American into a single value to be manipulated. Even looking at the word, a "determinant", is reminiscent of [Hitler]'s fascist ideas on "determining" the freedom of the German people with [Nazism].
Even worse is the idea that a determinant can lead to a [[characteristic polynomial]]. A characteristic polynomial helps liberals to create propaganda about a patriotic matrix known as [[eigenvalues]] and [[eigenvectors]]. Eigenvectors are liberal ideas that can be used to create skewed [[mappings]] and decompositions of matrices. This is very similar to what liberals are attempting to do to the American public, by skewing the news and decomposing American values.
== Application: Analyzing [[Liberal style]] on [[Wikipedia]] ==
== Application: Analyzing [[Liberal style]] on [[Wikipedia]] ==