dlamchtst (l) - Linux Manuals
Command to display dlamchtst manual in Linux: $ man l dlamchtst
NAME
SYNOPSIS
- PROGRAM TEST3
-
-
DOUBLE
PRECISION BASE, EMAX, EMIN, EPS, PREC, RMAX, RMIN, RND,
SFMIN, T
-
DOUBLE
PRECISION DLAMCH
-
EXTERNAL
DLAMCH
-
EPS
= DLAMCH( aqEpsilonaq )
-
SFMIN
= DLAMCH( aqSafe minimumaq )
-
BASE
= DLAMCH( aqBaseaq )
-
PREC
= DLAMCH( aqPrecisionaq )
-
T
= DLAMCH( aqNumber of digits in mantissaaq )
-
RND
= DLAMCH( aqRounding modeaq )
-
EMIN
= DLAMCH( aqMinimum exponentaq )
-
RMIN
= DLAMCH( aqUnderflow thresholdaq )
-
EMAX
= DLAMCH( aqLargest exponentaq )
-
RMAX
= DLAMCH( aqOverflow thresholdaq )
-
WRITE(
6, * )aq Epsilon = aq, EPS
-
WRITE(
6, * )aq Safe minimum = aq, SFMIN
-
WRITE(
6, * )aq Base = aq, BASE
-
WRITE(
6, * )aq Precision = aq, PREC
-
WRITE(
6, * )aq Number of digits in mantissa = aq, T
-
WRITE(
6, * )aq Rounding mode = aq, RND
-
WRITE(
6, * )aq Minimum exponent = aq, EMIN
-
WRITE(
6, * )aq Underflow threshold = aq, RMIN
-
WRITE(
6, * )aq Largest exponent = aq, EMAX
-
WRITE(
6, * )aq Overflow threshold = aq, RMAX
-
WRITE(
6, * )aq Reciprocal of safe minimum = aq, 1 / SFMIN
-
END
PURPOSE
Pages related to dlamchtst
- dlamchtst (3)
- dlamch (l) - double precision machine parameters
- dlamrg (l) - will create a permutation list which will merge the elements of A (which is composed of two independently sorted sets) into a single set which is sorted in ascending order
- 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),