sla_wwaddw (l)  Linux Man Pages
sla_wwaddw: SLA_WWADDW add a vector W into a doubledsingle vector (X, Y)
Command to display sla_wwaddw
manual in Linux: $ man l sla_wwaddw
NAME
SLA_WWADDW  SLA_WWADDW add a vector W into a doubledsingle vector (X, Y)
SYNOPSIS
 SUBROUTINE SLA_WWADDW(

N, X, Y, W )

IMPLICIT
NONE

INTEGER
N

REAL
X( * ), Y( * ), W( * )
PURPOSE
SLA_WWADDW adds a vector W into a doubledsingle vector
(X, Y).
This works for all extant IBMaqs hex and binary floating point
arithmetics, but not for decimal.
ARGUMENTS
 N (input) INTEGER

The length of vectors X, Y, and W.
X, Y (input/output) REAL array, length N
The doubledsingle accumulation vector.
 W (input) REAL array, length N

The vector to be added.
Pages related to sla_wwaddw
 sla_wwaddw (3)
 sla_gbamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 sla_gbrcond (l)  SLA_GERCOND Estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = 1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( inv(A)A ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinitynorm condition number
 sla_gbrfsx_extended (l)  computes ..
 sla_geamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 sla_gercond (l)  SLA_GERCOND estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = 1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( inv(A)A ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinitynorm condition number
 sla_gerfsx_extended (l)  computes ..
 sla_lin_berr (l)  SLA_LIN_BERR compute componentwise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the componentwise absolute value of the matrix or vector Z