F08FFF (DORGTR) (PDF version)
F08 Chapter Contents
F08 Chapter Introduction
NAG Library Manual

# NAG Library Routine DocumentF08FFF (DORGTR)

Note:  before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.

## 1  Purpose

F08FFF (DORGTR) generates the real orthogonal matrix $Q$, which was determined by F08FEF (DSYTRD) when reducing a symmetric matrix to tridiagonal form.

## 2  Specification

 SUBROUTINE F08FFF ( UPLO, N, A, LDA, TAU, WORK, LWORK, INFO)
 INTEGER N, LDA, LWORK, INFO REAL (KIND=nag_wp) A(LDA,*), TAU(*), WORK(max(1,LWORK)) CHARACTER(1) UPLO
The routine may be called by its LAPACK name dorgtr.

## 3  Description

F08FFF (DORGTR) is intended to be used after a call to F08FEF (DSYTRD), which reduces a real symmetric matrix $A$ to symmetric tridiagonal form $T$ by an orthogonal similarity transformation: $A=QT{Q}^{\mathrm{T}}$. F08FEF (DSYTRD) represents the orthogonal matrix $Q$ as a product of $n-1$ elementary reflectors.
This routine may be used to generate $Q$ explicitly as a square matrix.
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

## 5  Parameters

1:     UPLO – CHARACTER(1)Input
On entry: this must be the same parameter UPLO as supplied to F08FEF (DSYTRD).
Constraint: ${\mathbf{UPLO}}=\text{'U'}$ or $\text{'L'}$.
2:     N – INTEGERInput
On entry: $n$, the order of the matrix $Q$.
Constraint: ${\mathbf{N}}\ge 0$.
3:     A(LDA,$*$) – REAL (KIND=nag_wp) arrayInput/Output
Note: the second dimension of the array A must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$.
On entry: details of the vectors which define the elementary reflectors, as returned by F08FEF (DSYTRD).
On exit: the $n$ by $n$ orthogonal matrix $Q$.
4:     LDA – INTEGERInput
On entry: the first dimension of the array A as declared in the (sub)program from which F08FFF (DORGTR) is called.
Constraint: ${\mathbf{LDA}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$.
5:     TAU($*$) – REAL (KIND=nag_wp) arrayInput
Note: the dimension of the array TAU must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}-1\right)$.
On entry: further details of the elementary reflectors, as returned by F08FEF (DSYTRD).
6:     WORK($\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{LWORK}}\right)$) – REAL (KIND=nag_wp) arrayWorkspace
On exit: if ${\mathbf{INFO}}={\mathbf{0}}$, ${\mathbf{WORK}}\left(1\right)$ contains the minimum value of LWORK required for optimal performance.
7:     LWORK – INTEGERInput
On entry: the dimension of the array WORK as declared in the (sub)program from which F08FFF (DORGTR) is called.
If ${\mathbf{LWORK}}=-1$, a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued.
Suggested value: for optimal performance, ${\mathbf{LWORK}}\ge \left({\mathbf{N}}-1\right)×\mathit{nb}$, where $\mathit{nb}$ is the optimal block size.
Constraint: ${\mathbf{LWORK}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}-1\right)$ or ${\mathbf{LWORK}}=-1$.
8:     INFO – INTEGEROutput
On exit: ${\mathbf{INFO}}=0$ unless the routine detects an error (see Section 6).

## 6  Error Indicators and Warnings

Errors or warnings detected by the routine:
${\mathbf{INFO}}<0$
If ${\mathbf{INFO}}=-i$, argument $i$ had an illegal value. An explanatory message is output, and execution of the program is terminated.

## 7  Accuracy

The computed matrix $Q$ differs from an exactly orthogonal matrix by a matrix $E$ such that
 $E2 = Oε ,$
where $\epsilon$ is the machine precision.

## 8  Further Comments

The total number of floating point operations is approximately $\frac{4}{3}{n}^{3}$.
The complex analogue of this routine is F08FTF (ZUNGTR).

## 9  Example

This example computes all the eigenvalues and eigenvectors of the matrix $A$, where
 $A = 2.07 3.87 4.20 -1.15 3.87 -0.21 1.87 0.63 4.20 1.87 1.15 2.06 -1.15 0.63 2.06 -1.81 .$
Here $A$ is symmetric and must first be reduced to tridiagonal form by F08FEF (DSYTRD). The program then calls F08FFF (DORGTR) to form $Q$, and passes this matrix to F08JEF (DSTEQR) which computes the eigenvalues and eigenvectors of $A$.

### 9.1  Program Text

Program Text (f08fffe.f90)

### 9.2  Program Data

Program Data (f08fffe.d)

### 9.3  Program Results

Program Results (f08fffe.r)

F08FFF (DORGTR) (PDF version)
F08 Chapter Contents
F08 Chapter Introduction
NAG Library Manual