SchurDecomposition
 Usage
• SchurDecomposition[m] yields the Schur decomposition for a numerical matrix m. The result is a list {q, t} where q is an orthonormal matrix and t is a block upper-triangular matrix.
• SchurDecomposition[{m, a}] gives the generalized Schur decomposition of m with respect to a.
Notes
• The original matrix m is equal to q . t . Conjugate[Transpose[q]]. • SchurDecomposition[m, Pivoting -> True] yields a list {q, t, d} where d is a permuted diagonal matrix such that m . d is equal to d . q . t . Conjugate[Transpose[q]]. • SchurDecomposition[{m, a}] yields a list of matrices {q, s, p, t} where q and p are orthonormal matrices, s and t are upper-triangular matrices, such that m is given by q . s . Conjugate[Transpose[p]] and a is given by q . t . Conjugate[Transpose[p]]. • New in Version 2; modified in 5. • Advanced Documentation.
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