dlaisnan (l) - Linux Manuals
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
over-optimization in DISNAN.
DLAISNAN 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
- 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 matrix-vector 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 infinity-norm condition number
- dla_gbrfsx_extended (l) - computes ..
- dla_geamv (l) - performs one of the matrix-vector 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 infinity-norm condition number