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Full Discussion: Randomize a matrix
Top Forums Shell Programming and Scripting Randomize a matrix Post 302741591 by @man on Sunday 9th of December 2012 09:09:24 AM
Old 12-09-2012
Randomize a matrix

--please have a look at my third post in this thread! there I explained it more clearly--

Hey guys.

I posted a complex problem few days back. No reply! :|
Here is simplified question:

I have a matrix with 0/1:
Code:
*        col1  col2  col3
row1    1      0      1
row2    0      0      1
row3    1      1      1
row4    1      0      0

I wanna randomize it 1000 times (or even more!) and have matrices with the same sum for each row and column as it is in input file.

Any ideas?

Thanks

Last edited by @man; 12-13-2012 at 04:44 AM..
 

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CGELSS(l)								 )								 CGELSS(l)

NAME
CGELSS - compute the minimum norm solution to a complex linear least squares problem SYNOPSIS
SUBROUTINE CGELSS( M, N, NRHS, A, LDA, B, LDB, S, RCOND, RANK, WORK, LWORK, RWORK, INFO ) INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS, RANK REAL RCOND REAL RWORK( * ), S( * ) COMPLEX A( LDA, * ), B( LDB, * ), WORK( * ) PURPOSE
CGELSS computes the minimum norm solution to a complex linear least squares problem: Minimize 2-norm(| b - A*x |). using the singular value decomposition (SVD) of A. A is an M-by-N matrix which may be rank-deficient. Several right hand side vectors b and solution vectors x can be handled in a single call; they are stored as the columns of the M-by-NRHS right hand side matrix B and the N-by-NRHS solution matrix X. The effective rank of A is determined by treating as zero those singular values which are less than RCOND times the largest singular value. 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. NRHS (input) INTEGER The number of right hand sides, i.e., the number of columns of the matrices B and X. NRHS >= 0. A (input/output) COMPLEX array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, the first min(m,n) rows of A are overwritten with its right singular vectors, stored row- wise. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,M). B (input/output) COMPLEX array, dimension (LDB,NRHS) On entry, the M-by-NRHS right hand side matrix B. On exit, B is overwritten by the N-by-NRHS solution matrix X. If m >= n and RANK = n, the residual sum-of-squares for the solution in the i-th column is given by the sum of squares of elements n+1:m in that column. LDB (input) INTEGER The leading dimension of the array B. LDB >= max(1,M,N). S (output) REAL array, dimension (min(M,N)) The singular values of A in decreasing order. The condition number of A in the 2-norm = S(1)/S(min(m,n)). RCOND (input) REAL RCOND is used to determine the effective rank of A. Singular values S(i) <= RCOND*S(1) are treated as zero. If RCOND < 0, machine precision is used instead. RANK (output) INTEGER The effective rank of A, i.e., the number of singular values which are greater than RCOND*S(1). WORK (workspace/output) COMPLEX array, dimension (LWORK) On exit, if INFO = 0, WORK(1) returns the optimal LWORK. LWORK (input) INTEGER The dimension of the array WORK. LWORK >= 1, and also: LWORK >= 2*min(M,N) + max(M,N,NRHS) For good performance, LWORK should gen- erally be larger. 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. RWORK (workspace) REAL array, dimension (5*min(M,N)) INFO (output) INTEGER = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value. > 0: the algorithm for computing the SVD failed to converge; if INFO = i, i off-diagonal elements of an intermediate bidiagonal form did not converge to zero. LAPACK version 3.0 15 June 2000 CGELSS(l)
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