Developer Reference for Intel® oneAPI Math Kernel Library for Fortran
?ormhr
Multiplies an arbitrary real matrix C by the real orthogonal matrix Q determined by ?gehrd .
Syntax
call sormhr ( side , trans , m , n , ilo , ihi , a , lda , tau , c , ldc , work , lwork , info )
call dormhr ( side , trans , m , n , ilo , ihi , a , lda , tau , c , ldc , work , lwork , info )
call ormhr ( a , tau , c [ , ilo ] [ , ihi ] [ , side ] [ , trans ] [ , info ] )
Include Files
mkl.fi , mkl_lapack.f90
Description
sormhr dormhr ormhr
The routine multiplies a matrix C by the orthogonal matrix Q that has been determined by a preceding call to sgehrd / dgehrd . (The routine ?gehrd reduces a real general matrix A to upper Hessenberg form H by an orthogonal similarity transformation, A = Q*H*Q^{T} , and represents the matrix Q as a product of ihi - ilo elementary reflectors . Here ilo and ihi are values determined by sgebal / dgebal when balancing the matrix;if the matrix has not been balanced, ilo = 1 and ihi = n .)
With ?ormhr , you can form one of the matrix products Q*C , Q^{T}*C , C*Q , or C*Q^{T} , overwriting the result on C (which may be any real rectangular matrix).
A common application of ?ormhr is to transform a matrix V of eigenvectors of H to the matrix QV of eigenvectors of A .
Input Parameters
side
CHARACTER*1 . Must be ‘L’ or ‘R’ .
If side = ‘L’ , then the routine forms Q*C or Q^{T}*C . If side = ‘R’ , then the routine forms C*Q or C*Q^{T} .
trans
CHARACTER*1 . Must be ‘N’ or ‘T’ .
If trans = ‘N’ , then Q is applied to C . If trans = ‘T’ , then Q:code:`T` is applied to C .
m
INTEGER . The number of rows in C ( m≥ 0 ).
n
INTEGER . The number of columns in C ( n≥ 0 ).
ilo , ihi
INTEGER . These must be the same parameters ilo and ihi , respectively, as supplied to ?gehrd .
If m > 0 and side = 'L' , then 1 ≤ilo≤ihi≤m . If m = 0 and side = 'L' , then ilo = 1 and ihi = 0 . If n > 0 and side = 'R' , then 1 ≤ilo≤ihi≤n . If n = 0 and side = 'R' , then ilo = 1 and ihi = 0 .
- a , tau , c , work
-
REAL for sormhr DOUBLE PRECISION for dormhr Arrays:
a ( lda ,*) contains details of the vectors which define the elementary reflectors , as returned by ?gehrd .
The second dimension of a must be at least max(1, m ) if side = 'L' and at least max(1, n ) if side = 'R' .
tau (*) contains further details of the elementary reflectors , as returned by ?gehrd .
The dimension of tau must be at least max (1, m -1) if side = 'L' and at least max (1, n -1) if side = 'R' .
c ( ldc ,*) contains the m by n matrix C .
The second dimension of c must be at least max(1, n ). work is a workspace array, its dimension max(1, lwork) .
lda
INTEGER . The leading dimension of a ; at least max(1, m ) if side = 'L' and at least max (1, n ) if side = 'R' .
ldc
INTEGER . The leading dimension of c ; at least max(1, m ) .
lwork
INTEGER . The size of the work array.
If side = 'L' , lwork ≥ max(1, n ). If side = 'R' , lwork ≥ max(1, m ). If lwork = -1 , then 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 by xerbla . See Application Notes for the suggested value of lwork .
Output Parameters
- c
-
C is overwritten by product Q*C , Q^{T}*C , C*Q , or C*Q^{T} as specified by side and trans .
- work(1)
-
If info = 0 , on exit work(1) contains the minimum value of lwork required for optimum performance. Use this lwork for subsequent runs.
info
INTEGER .
If info = 0 , the execution is successful.
If info = -i , the i -th parameter had an illegal value.
Return Values
No return value, info is an Output Parameter.
LAPACK 95 Interface Notes
Routines in Fortran 95 interface have fewer arguments in the calling sequence than their FORTRAN 77 counterparts. For general conventions applied to skip redundant or restorable arguments, see LAPACK 95 Interface Conventions .
Specific details for the routine ormhr interface are the following:
a
Holds the matrix A of size ( r,r ).
r = m if side = 'L' .
r = n if side = 'R' .
tau
Holds the vector of length ( r- 1).
c
Holds the matrix C of size ( m,n ).
ilo
Default value for this argument is ilo = 1 .
ihi
Default value for this argument is ihi = n .
side
Must be ‘L’ or ‘R’ . The default value is ‘L’ .
trans
Must be ‘N’ or ‘T’ . The default value is ‘N’ .
Application Notes
For better performance, lwork should be at least n * blocksize if side = 'L' and at least m * blocksize if side = 'R' , where blocksize is a machine-dependent value (typically, 16 to 64) required for optimum performance of the blocked algorithm .
If you are in doubt how much workspace to supply, use a generous value of lwork for the first run or set lwork = -1 .
If you choose the first option and set any of admissible lwork sizes, which is no less than the minimal value described, the routine completes the task, though probably not so fast as with a recommended workspace, and provides the recommended workspace in the first element of the corresponding array work on exit. Use this value ( work(1) ) for subsequent runs.
If you set lwork = -1 , the routine returns immediately and provides the recommended workspace in the first element of the corresponding array ( work ). This operation is called a workspace query.
Note that if you set lwork to less than the minimal required value and not -1, the routine returns immediately with an error exit and does not provide any information on the recommended workspace.
The computed matrix \(Q\) differs from the exact result by a matrix \(E\) such that \(||E||_{2} = O(\varepsilon) ||C||_{2}\) , where \(\varepsilon\) is the machine precision.
The approximate number of floating-point operations is
\(2n(ihi-ilo)^{2}\) if side = 'L' ;
\(2m(ihi-ilo)^{2}\) if side = 'R' .
The complex counterpart of this routine is unmhr .