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[]A\A]ÃHƒìHƒÄÃAuploO|coptionsmissing amd.optionsdictionarycvxopt.amdcvxopt.base_C_APIorderinvalid value for AMD parameter: %-.20sA must be a square sparse matrixpossible values of uplo are: 'L', 'U'AMD_DENSEAMD_AGGRESSIVE
ÿÿÿÿÿÿÿð?•Ö&è.>Oct 10, 2014    status: OK
out of memory
invalid matrix
OK, but jumbled
unknown

AMD version %d.%d.%d, %s, results:
    n, dimension of A:                                  %.20g
    nz, number of nonzeros in A:                        %.20g
    symmetry of A:                                      %.4f
    number of nonzeros on diagonal:                     %.20g
    nonzeros in pattern of A+A' (excl. diagonal):       %.20g
    # dense rows/columns of A+A':                       %.20g
    memory used, in bytes:                              %.20g
    # of memory compactions:                            %.20g

    The following approximate statistics are for a subsequent
    factorization of A(P,P) + A(P,P)'.  They are slight upper
    bounds if there are no dense rows/columns in A+A', and become
    looser if dense rows/columns exist.

    nonzeros in L (excluding diagonal):                 %.20g
    nonzeros in L (including diagonal):                 %.20g
    # divide operations for LDL' or LU:                 %.20g
    # multiply-subtract operations for LDL':            %.20g
    # multiply-subtract operations for LU:              %.20g
    max nz. in any column of L (incl. diagonal):        %.20g

    chol flop count for real A, sqrt counted as 1 flop: %.20g
    LDL' flop count for real A:                         %.20g
    LDL' flop count for complex A:                      %.20g
    LU flop count for real A (with no pivoting):        %.20g
    LU flop count for complex A (with no pivoting):     %.20g

ð¿À"@ @    no rows treated as dense
    size of AMD integer: %d


AMD version %d.%d.%d, %s: approximate minimum degree ordering
    dense row parameter: %g
    (rows with more than max (%g * sqrt (n), 16) entries are
    considered "dense", and placed last in output permutation)
    aggressive absorption:  yes
    aggressive absorption:  no
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ùÿÿo°m Öæö&6FVfv†–¦¶ÆÖæö&6Fàp Computes the approximate minimum degree ordering of a square matrix.

p = order(A, uplo='L')

PURPOSE
Computes a permutation p that reduces fill-in in the Cholesky
factorization of A[p,p].

ARGUMENTS
A         square sparse matrix

uplo      'L' or 'U'.  If uplo is 'L', the lower triangular part
          of A is used and the upper triangular is ignored.  If
          uplo is 'U', the upper triangular part is used and the
          lower triangular part is ignored.

p         'i' matrix of length equal to the order of AInterface to the AMD library.

Approximate minimum degree ordering of sparse matrices.

The default values of the control parameterse in the AMD 'Control' array
described in the AMD User Guide are used.  The values can be modified by
making an entry in the dictionary amd.options, with possible key values
'AMD_DENSE' and 'AMD_AGGRESSIVE'.

AMD is available from www.suitesparse.com.¯O@q @GCC: (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4,@F,,È%$½,-Ð(Ï,
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