dlaisnan (l)  Linux Man Pages
dlaisnan: routine i not for general use
Command to display dlaisnan
manual in Linux: $ man l dlaisnan
NAME
DLAISNAN  routine i not for general use
SYNOPSIS
 LOGICAL FUNCTION

DLAISNAN(DIN1,DIN2)

DOUBLE
PRECISION DIN1,DIN2
PURPOSE
This routine is not for general use. It exists solely to avoid
overoptimization in DISNAN.
DLAISNAN checks for NaNs by comparing its two arguments for
inequality. NaN is the only floatingpoint value where NaN != NaN
returns .TRUE. To check for NaNs, pass the same variable as both
arguments.
A compiler must assume that the two arguments are
not the same variable, and the test will not be optimized away.
Interprocedural or wholeprogram optimization may delete this
test. The ISNAN functions will be replaced by the correct
Fortran 03 intrinsic once the intrinsic is widely available.
ARGUMENTS
 DIN1 (input) DOUBLE PRECISION

DIN2 (input) DOUBLE PRECISION
Two numbers to compare for inequality.
Pages related to dlaisnan
 dlaisnan (3)
 dlaic1 (l)  applies one step of incremental condition estimation in its simplest version
 dla_gbamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 dla_gbrcond (l)  DLA_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
 dla_gbrfsx_extended (l)  computes ..
 dla_geamv (l)  performs one of the matrixvector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
 dla_gercond (l)  DLA_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