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Full Discussion: Randomize a matrix
Top Forums Shell Programming and Scripting Randomize a matrix Post 302741601 by @man on Sunday 9th of December 2012 10:14:50 AM
Old 12-09-2012
@Rudic: The actual input data that I have is much bigger than this! It might be possible to have 1000 permutations.
Actually my worries is if it's possible to do this simulation and repeat it million times for instance. If it does not make sense I have no other choice rather than disregarding the similarity for sum of each rows and just check for similar sums for each column.

@bakunin: the difference between this problem and "8-queens-problem" is that first: in 8-queens there is just one position for each row and column to have value '1', but here it's more and varies. Second: Here we take those variants which are symmetrical or mirror as well since each column has different meaning.
 

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cgebal.f(3)							      LAPACK							       cgebal.f(3)

NAME
cgebal.f - SYNOPSIS
Functions/Subroutines subroutine cgebal (JOB, N, A, LDA, ILO, IHI, SCALE, INFO) CGEBAL Function/Subroutine Documentation subroutine cgebal (characterJOB, integerN, complex, dimension( lda, * )A, integerLDA, integerILO, integerIHI, real, dimension( * )SCALE, integerINFO) CGEBAL Purpose: CGEBAL balances a general complex matrix A. This involves, first, permuting A by a similarity transformation to isolate eigenvalues in the first 1 to ILO-1 and last IHI+1 to N elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible. Both steps are optional. Balancing may reduce the 1-norm of the matrix, and improve the accuracy of the computed eigenvalues and/or eigenvectors. Parameters: JOB JOB is CHARACTER*1 Specifies the operations to be performed on A: = 'N': none: simply set ILO = 1, IHI = N, SCALE(I) = 1.0 for i = 1,...,N; = 'P': permute only; = 'S': scale only; = 'B': both permute and scale. N N is INTEGER The order of the matrix A. N >= 0. A A is COMPLEX array, dimension (LDA,N) On entry, the input matrix A. On exit, A is overwritten by the balanced matrix. If JOB = 'N', A is not referenced. See Further Details. LDA LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N). ILO ILO is INTEGER IHI IHI is INTEGER ILO and IHI are set to integers such that on exit A(i,j) = 0 if i > j and j = 1,...,ILO-1 or I = IHI+1,...,N. If JOB = 'N' or 'S', ILO = 1 and IHI = N. SCALE SCALE is REAL array, dimension (N) Details of the permutations and scaling factors applied to A. If P(j) is the index of the row and column interchanged with row and column j and D(j) is the scaling factor applied to row and column j, then SCALE(j) = P(j) for j = 1,...,ILO-1 = D(j) for j = ILO,...,IHI = P(j) for j = IHI+1,...,N. The order in which the interchanges are made is N to IHI+1, then 1 to ILO-1. INFO INFO is INTEGER = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value. Author: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Date: November 2011 Further Details: The permutations consist of row and column interchanges which put the matrix in the form ( T1 X Y ) P A P = ( 0 B Z ) ( 0 0 T2 ) where T1 and T2 are upper triangular matrices whose eigenvalues lie along the diagonal. The column indices ILO and IHI mark the starting and ending columns of the submatrix B. Balancing consists of applying a diagonal similarity transformation inv(D) * B * D to make the 1-norms of each row of B and its corresponding column nearly equal. The output matrix is ( T1 X*D Y ) ( 0 inv(D)*B*D inv(D)*Z ). ( 0 0 T2 ) Information about the permutations P and the diagonal matrix D is returned in the vector SCALE. This subroutine is based on the EISPACK routine CBAL. Modified by Tzu-Yi Chen, Computer Science Division, University of California at Berkeley, USA Definition at line 162 of file cgebal.f. Author Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.1 Sun May 26 2013 cgebal.f(3)
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