SLARFX(3)      LAPACK routine of NEC Numeric Library Collection      SLARFX(3)



NAME
       SLARFX

SYNOPSIS
       SUBROUTINE SLARFX (SIDE, M, N, V, TAU, C, LDC, WORK)



PURPOSE
            SLARFX applies a real elementary reflector H to a real m by n
            matrix C, from either the left or the right. H is represented in the
            form

                  H = I - tau * v * v**T

            where tau is a real scalar and v is a real vector.

            If tau = 0, then H is taken to be the unit matrix

            This version uses inline code if H has order < 11.




ARGUMENTS
           SIDE      (input)
                     SIDE is CHARACTER*1
                     = 'L': form  H * C
                     = 'R': form  C * H

           M         (input)
                     M is INTEGER
                     The number of rows of the matrix C.

           N         (input)
                     N is INTEGER
                     The number of columns of the matrix C.

           V         (input)
                     V is REAL array, dimension (M) if SIDE = 'L'
                                                or (N) if SIDE = 'R'
                     The vector v in the representation of H.

           TAU       (input)
                     TAU is REAL
                     The value tau in the representation of H.

           C         (input/output)
                     C is REAL array, dimension (LDC,N)
                     On entry, the m by n matrix C.
                     On exit, C is overwritten by the matrix H * C if SIDE = 'L',
                     or C * H if SIDE = 'R'.

           LDC       (input)
                     LDC is INTEGER
                     The leading dimension of the array C. LDA >= (1,M).

           WORK      (output)
                     WORK is REAL array, dimension
                                 (N) if SIDE = 'L'
                                 or (M) if SIDE = 'R'
                     WORK is not referenced if H has order < 11.



LAPACK routine                  31 October 2017                      SLARFX(3)