05-28-2012
the 'something' is the elimination of duplicates considering only the first column (i try '!_[$1]++' and works good for me).
I want to eliminate the duplicates (as written above) from each input file in the folder and I want an ouput file (one for each input file) that should have the same name of the input file with added something. For example: input file name is "333.e" and I would like an output file name like "333_mod.e".
The input files have two columns and I need to eliminate duplicates agreeing with the elements of the first column.
They are like:
pb_04 0,1
pb_05 0.3
pb_05 0.2
pb_12 0.85
... ...
in this case i need to eliminate one row with pb_05.
thanks!
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LEARN ABOUT REDHAT
sgeequ
SGEEQU(l) ) SGEEQU(l)
NAME
SGEEQU - compute row and column scalings intended to equilibrate an M-by-N matrix A and reduce its condition number
SYNOPSIS
SUBROUTINE SGEEQU( M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, INFO )
INTEGER INFO, LDA, M, N
REAL AMAX, COLCND, ROWCND
REAL A( LDA, * ), C( * ), R( * )
PURPOSE
SGEEQU computes row and column scalings intended to equilibrate an M-by-N matrix A and reduce its condition number. R returns the row scale
factors and C the column scale factors, chosen to try to make the largest element in each row and column of the matrix B with elements
B(i,j)=R(i)*A(i,j)*C(j) have absolute value 1.
R(i) and C(j) are restricted to be between SMLNUM = smallest safe number and BIGNUM = largest safe number. Use of these scaling factors is
not guaranteed to reduce the condition number of A but works well in practice.
ARGUMENTS
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input) REAL array, dimension (LDA,N)
The M-by-N matrix whose equilibration factors are to be computed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
R (output) REAL array, dimension (M)
If INFO = 0 or INFO > M, R contains the row scale factors for A.
C (output) REAL array, dimension (N)
If INFO = 0, C contains the column scale factors for A.
ROWCND (output) REAL
If INFO = 0 or INFO > M, ROWCND contains the ratio of the smallest R(i) to the largest R(i). If ROWCND >= 0.1 and AMAX is neither
too large nor too small, it is not worth scaling by R.
COLCND (output) REAL
If INFO = 0, COLCND contains the ratio of the smallest C(i) to the largest C(i). If COLCND >= 0.1, it is not worth scaling by C.
AMAX (output) REAL
Absolute value of largest matrix element. If AMAX is very close to overflow or very close to underflow, the matrix should be
scaled.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= M: the i-th row of A is exactly zero
> M: the (i-M)-th column of A is exactly zero
LAPACK version 3.0 15 June 2000 SGEEQU(l)