TotalVariation[matrix] gives the total variation for matrix.
LUDecomposition[m] generates a representation of the LU decomposition of a square matrix m.
PseudoInverse[m] finds the pseudoinverse of a rectangular matrix.
KarhunenLoeveDecomposition[{a_1, a_2, ...}] gives the Karhunen\[Dash]Loeve transform {b_1, b_2, ...} of the numerical arrays {a_1, a_2, ...} and the transformation matrix m, ...
JordanDecomposition[m] yields the Jordan decomposition of a square matrix m. The result is a list {s, j} where s is a similarity matrix and j is the Jordan canonical form of ...
NullSpace[m] gives a list of vectors that forms a basis for the null space of the matrix m.
SingularValueDecomposition[m] gives the singular value decomposition for a numerical matrix m as a list of matrices {u, w, v}, where w is a diagonal matrix and m can be ...
Tolerance is an option for various numerical options which specifies the tolerance that should be allowed in computing results.
GeneralizedVariance[matrix] gives the generalized variance for matrix.