NAG CL Interface
f08fuc (zunmtr)

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1 Purpose

f08fuc multiplies an arbitrary complex matrix C by the complex unitary matrix Q which was determined by f08fsc when reducing a complex Hermitian matrix to tridiagonal form.

2 Specification

#include <nag.h>
void  f08fuc (Nag_OrderType order, Nag_SideType side, Nag_UploType uplo, Nag_TransType trans, Integer m, Integer n, const Complex a[], Integer pda, const Complex tau[], Complex c[], Integer pdc, NagError *fail)
The function may be called by the names: f08fuc, nag_lapackeig_zunmtr or nag_zunmtr.

3 Description

f08fuc is intended to be used after a call to f08fsc, which reduces a complex Hermitian matrix A to real symmetric tridiagonal form T by a unitary similarity transformation: A=QTQH. f08fsc represents the unitary matrix Q as a product of elementary reflectors.
This function may be used to form one of the matrix products
QC , QHC , CQ ​ or ​ CQH ,  
overwriting the result on C (which may be any complex rectangular matrix).
A common application of this function is to transform a matrix Z of eigenvectors of T to the matrix QZ of eigenvectors of A.

4 References

Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5 Arguments

1: order Nag_OrderType Input
On entry: the order argument specifies the two-dimensional storage scheme being used, i.e., row-major ordering or column-major ordering. C language defined storage is specified by order=Nag_RowMajor. See Section 3.1.3 in the Introduction to the NAG Library CL Interface for a more detailed explanation of the use of this argument.
Constraint: order=Nag_RowMajor or Nag_ColMajor.
2: side Nag_SideType Input
On entry: indicates how Q or QH is to be applied to C.
side=Nag_LeftSide
Q or QH is applied to C from the left.
side=Nag_RightSide
Q or QH is applied to C from the right.
Constraint: side=Nag_LeftSide or Nag_RightSide.
3: uplo Nag_UploType Input
On entry: this must be the same argument uplo as supplied to f08fsc.
Constraint: uplo=Nag_Upper or Nag_Lower.
4: trans Nag_TransType Input
On entry: indicates whether Q or QH is to be applied to C.
trans=Nag_NoTrans
Q is applied to C.
trans=Nag_ConjTrans
QH is applied to C.
Constraint: trans=Nag_NoTrans or Nag_ConjTrans.
5: m Integer Input
On entry: m, the number of rows of the matrix C; m is also the order of Q if side=Nag_LeftSide.
Constraint: m0.
6: n Integer Input
On entry: n, the number of columns of the matrix C; n is also the order of Q if side=Nag_RightSide.
Constraint: n0.
7: a[dim] const Complex Input
Note: the dimension, dim, of the array a must be at least
  • max(1,pda×m) when side=Nag_LeftSide;
  • max(1,pda×n) when side=Nag_RightSide.
On entry: details of the vectors which define the elementary reflectors, as returned by f08fsc.
8: pda Integer Input
On entry: the stride separating row or column elements (depending on the value of order) of the matrix A in the array a.
Constraints:
  • if side=Nag_LeftSide, pda max(1,m) ;
  • if side=Nag_RightSide, pda max(1,n) .
9: tau[dim] const Complex Input
Note: the dimension, dim, of the array tau must be at least
  • max(1,m-1) when side=Nag_LeftSide;
  • max(1,n-1) when side=Nag_RightSide.
On entry: further details of the elementary reflectors, as returned by f08fsc.
10: c[dim] Complex Input/Output
Note: the dimension, dim, of the array c must be at least
  • max(1,pdc×n) when order=Nag_ColMajor;
  • max(1,m×pdc) when order=Nag_RowMajor.
The (i,j)th element of the matrix C is stored in
  • c[(j-1)×pdc+i-1] when order=Nag_ColMajor;
  • c[(i-1)×pdc+j-1] when order=Nag_RowMajor.
On entry: the m×n matrix C.
On exit: c is overwritten by QC or QHC or CQ or CQH as specified by side and trans.
11: pdc Integer Input
On entry: the stride separating row or column elements (depending on the value of order) in the array c.
Constraints:
  • if order=Nag_ColMajor, pdcmax(1,m);
  • if order=Nag_RowMajor, pdcmax(1,n).
12: fail NagError * Input/Output
The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).

6 Error Indicators and Warnings

NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM
On entry, argument value had an illegal value.
NE_ENUM_INT_3
On entry, side=value, m=value, n=value and pda=value.
Constraint: if side=Nag_LeftSide, pda max(1,m) ;
if side=Nag_RightSide, pda max(1,n) .
NE_INT
On entry, m=value.
Constraint: m0.
On entry, n=value.
Constraint: n0.
On entry, pda=value.
Constraint: pda>0.
On entry, pdc=value.
Constraint: pdc>0.
NE_INT_2
On entry, pdc=value and m=value.
Constraint: pdcmax(1,m).
On entry, pdc=value and n=value.
Constraint: pdcmax(1,n).
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 7.5 in the Introduction to the NAG Library CL Interface for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.

7 Accuracy

The computed result differs from the exact result by a matrix E such that
E2 = O(ε) C2 ,  
where ε is the machine precision.

8 Parallelism and Performance

f08fuc is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08fuc makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this function. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

The total number of real floating-point operations is approximately 8m2n if side=Nag_LeftSide and 8mn2 if side=Nag_RightSide.
The real analogue of this function is f08fgc.

10 Example

This example computes the two smallest eigenvalues, and the associated eigenvectors, of the matrix A, where
A = ( -2.28+0.00i 1.78-2.03i 2.26+0.10i -0.12+2.53i 1.78+2.03i -1.12+0.00i 0.01+0.43i -1.07+0.86i 2.26-0.10i 0.01-0.43i -0.37+0.00i 2.31-0.92i -0.12-2.53i -1.07-0.86i 2.31+0.92i -0.73+0.00i ) .  
Here A is Hermitian and must first be reduced to tridiagonal form T by f08fsc. The program then calls f08jjc to compute the requested eigenvalues and f08jxc to compute the associated eigenvectors of T. Finally f08fuc is called to transform the eigenvectors to those of A.

10.1 Program Text

Program Text (f08fuce.c)

10.2 Program Data

Program Data (f08fuce.d)

10.3 Program Results

Program Results (f08fuce.r)