slaisnan (l) - Linux Manuals
slaisnan: routine i not for general use
Command to display slaisnan
manual in Linux: $ man l slaisnan
NAME
SLAISNAN - routine i not for general use
SYNOPSIS
- LOGICAL FUNCTION
-
SLAISNAN(SIN1,SIN2)
-
REAL
SIN1,SIN2
PURPOSE
This routine is not for general use. It exists solely to avoid
over-optimization in SISNAN.
SLAISNAN checks for NaNs by comparing its two arguments for
inequality. NaN is the only floating-point 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 whole-program optimization may delete this
test. The ISNAN functions will be replaced by the correct
Fortran 03 intrinsic once the intrinsic is widely available.
ARGUMENTS
- SIN1 (input) REAL
-
SIN2 (input) REAL
Two numbers to compare for inequality.
Pages related to slaisnan
- slaisnan (3)
- slaic1 (l) - applies one step of incremental condition estimation in its simplest version
- sla_gbamv (l) - performs one of the matrix-vector 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 infinity-norm condition number
- sla_gbrfsx_extended (l) - computes ..
- sla_geamv (l) - performs one of the matrix-vector 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 infinity-norm condition number