The square matrix *A* could be represented as *A=Q·H·Q ^{ T}*, where

The matrix in upper Hessenberg form is as follows (non-zero elements are marked with an "X"):

Like other algorithms of orthogonal factorization (for example, QR and LQ decomposition algorithms), this algorithm uses a sequence of elementary reflections to transform the matrix *A*. The matrix is transformed from the left and from the right. The transformations gradually remove the elements.

As a result of subroutine **RMatrixHessenberg**, the matrix *A* is replaced with matrix *H* and a sequence of reflection transformations stored in compact form. The form in which the transformations are stored and the subroutine parameters are described in more details in the subroutine comments. The method is similar to QR decomposition which uses the lower part of matrix *R* to store matrix *Q*.

As with QR decomposition, the subroutines for "unpacking" matrices *Q* and *H* are presented: **RMatrixHessenbergUnpackQ** and **RMatrixHessenbergUnpackH**. The first subroutine allows to get matrix *Q*, the second subroutine allows to get matrix *H*.

*This algorithm is transferred from the LAPACK library.*

*This article is licensed for personal use only.*

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