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Top Forums Shell Programming and Scripting Filtering out comments from COBOL programs Post 302997324 by drl on Thursday 11th of May 2017 12:13:35 PM
Old 05-11-2017
Hi.

Omitting sample input and output will probably decrease the likelihood of responders even looking at your problem.

Best wishes ... cheers, drl

Code:
To get the best advice on transforming, extracting, manipulating data,
please supply your computing environment and problem context:

1. OS and shell, preferably with versions
2. Representative sample input
3. Output desired that corresponds to the input
4. Logic to obtain output from input
5. Attempts at a solution that you have tried, including output

Post code and data inside CODE tags.

If you need to use or to avoid certain tools, you may need
to explain why, especially if your post count is low. Once the
problem is identified, responders often can choose the most
appropriate tool, not necessarily the one you might want.

These guidelines allow responders to create solutions without
ambiguity and to avoid creating sample data sets.

 

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SGGGLM(l)								 )								 SGGGLM(l)

NAME
SGGGLM - solve a general Gauss-Markov linear model (GLM) problem SYNOPSIS
SUBROUTINE SGGGLM( N, M, P, A, LDA, B, LDB, D, X, Y, WORK, LWORK, INFO ) INTEGER INFO, LDA, LDB, LWORK, M, N, P REAL A( LDA, * ), B( LDB, * ), D( * ), WORK( * ), X( * ), Y( * ) PURPOSE
SGGGLM solves a general Gauss-Markov linear model (GLM) problem: minimize || y ||_2 subject to d = A*x + B*y x where A is an N-by-M matrix, B is an N-by-P matrix, and d is a given N-vector. It is assumed that M <= N <= M+P, and rank(A) = M and rank( A B ) = N. Under these assumptions, the constrained equation is always consistent, and there is a unique solution x and a minimal 2-norm solution y, which is obtained using a generalized QR factorization of A and B. In particular, if matrix B is square nonsingular, then the problem GLM is equivalent to the following weighted linear least squares problem minimize || inv(B)*(d-A*x) ||_2 x where inv(B) denotes the inverse of B. ARGUMENTS
N (input) INTEGER The number of rows of the matrices A and B. N >= 0. M (input) INTEGER The number of columns of the matrix A. 0 <= M <= N. P (input) INTEGER The number of columns of the matrix B. P >= N-M. A (input/output) REAL array, dimension (LDA,M) On entry, the N-by-M matrix A. On exit, A is destroyed. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,N). B (input/output) REAL array, dimension (LDB,P) On entry, the N-by-P matrix B. On exit, B is destroyed. LDB (input) INTEGER The leading dimension of the array B. LDB >= max(1,N). D (input/output) REAL array, dimension (N) On entry, D is the left hand side of the GLM equation. On exit, D is destroyed. X (output) REAL array, dimension (M) Y (output) REAL array, dimension (P) On exit, X and Y are the solutions of the GLM problem. WORK (workspace/output) REAL array, dimension (LWORK) On exit, if INFO = 0, WORK(1) returns the optimal LWORK. LWORK (input) INTEGER The dimension of the array WORK. LWORK >= max(1,N+M+P). For optimum performance, LWORK >= M+min(N,P)+max(N,P)*NB, where NB is an upper bound for the optimal blocksizes for SGEQRF, SGERQF, SORMQR and SORMRQ. If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA. INFO (output) INTEGER = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value. LAPACK version 3.0 15 June 2000 SGGGLM(l)
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