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Top Forums UNIX for Beginners Questions & Answers Sort in ascending and descending column by defined blocks of rows. Post 303044670 by RudiC on Saturday 29th of February 2020 05:33:53 PM
Old 02-29-2020
Try (untested):
Code:
awk '{print int((NR-1)/5), $0}' file | sort -k1,1n -k3,3 | cut -f2-


EDIT: the descending sort of every other block escaped me on first read. Try (still untested)


Code:
awk '{TMP = int((NR-1)/5); $2 = (TMP%2?"-":"") $2; print TMP, $0}' file1 | sort -k1,1n -k3,3g | awk '{sub (/-/, "", $3); sub ("^" $1 FS, "");} 1'


Last edited by RudiC; 03-02-2020 at 04:02 AM..
 

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DLAQP2(l)								 )								 DLAQP2(l)

NAME
DLAQP2 - compute a QR factorization with column pivoting of the block A(OFFSET+1:M,1:N) SYNOPSIS
SUBROUTINE DLAQP2( M, N, OFFSET, A, LDA, JPVT, TAU, VN1, VN2, WORK ) INTEGER LDA, M, N, OFFSET INTEGER JPVT( * ) DOUBLE PRECISION A( LDA, * ), TAU( * ), VN1( * ), VN2( * ), WORK( * ) PURPOSE
DLAQP2 computes a QR factorization with column pivoting of the block A(OFFSET+1:M,1:N). The block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized. 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. OFFSET (input) INTEGER The number of rows of the matrix A that must be pivoted but no factorized. OFFSET >= 0. A (input/output) DOUBLE PRECISION array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, the upper triangle of block A(OFFSET+1:M,1:N) is the triangular factor obtained; the ele- ments in block A(OFFSET+1:M,1:N) below the diagonal, together with the array TAU, represent the orthogonal matrix Q as a product of elementary reflectors. Block A(1:OFFSET,1:N) has been accordingly pivoted, but no factorized. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,M). JPVT (input/output) INTEGER array, dimension (N) On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted to the front of A*P (a leading column); if JPVT(i) = 0, the i-th col- umn of A is a free column. On exit, if JPVT(i) = k, then the i-th column of A*P was the k-th column of A. TAU (output) DOUBLE PRECISION array, dimension (min(M,N)) The scalar factors of the elementary reflectors. VN1 (input/output) DOUBLE PRECISION array, dimension (N) The vector with the partial column norms. VN2 (input/output) DOUBLE PRECISION array, dimension (N) The vector with the exact column norms. WORK (workspace) DOUBLE PRECISION array, dimension (N) FURTHER DETAILS
Based on contributions by G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA LAPACK version 3.0 15 June 2000 DLAQP2(l)
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