output created by amd_f77cross while running 'make check'

amd_f77cross.out.build (text/plain), 1.96 KB, created by Markus Rothe (RETIRED) on 2008-03-14 08:41:12 UTC

AMD version 2.2.0, May 31, 2007, results:
    status: OK
    n, dimension of A:                                  5
    nz, number of nonzeros in A:                        14
    symmetry of A:                                      0.8889
    number of nonzeros on diagonal:                     5
    nonzeros in pattern of A+A' (excl. diagonal):       10
    # dense rows/columns of A+A':                       0
    memory used, in bytes:                              228
    # of memory compactions:                            0

    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):                 5
    nonzeros in L (including diagonal):                 10
    # divide operations for LDL' or LU:                 5
    # multiply-subtract operations for LDL':            6
    # multiply-subtract operations for LU:              7
    max nz. in any column of L (incl. diagonal):        3

    chol flop count for real A, sqrt counted as 1 flop: 22
    LDL' flop count for real A:                         17
    LDL' flop count for complex A:                      93
    LU flop count for real A (with no pivoting):        19
    LU flop count for complex A (with no pivoting):     101

Input matrix: 5-by- 5 with 14 entries

Column:  1 number of entries:  2 with row indices in AI (  1 ...   2)
    row indices:   1  2

Column:  2 number of entries:  4 with row indices in AI (  3 ...   6)
    row indices:   1  2  3  5

Column:  3 number of entries:  4 with row indices in AI (  7 ...  10)
    row indices:   2  3  4  5

Column:  4 number of entries:  2 with row indices in AI ( 11 ...  12)
    row indices:   3  4

Column:  5 number of entries:  2 with row indices in AI ( 13 ...  14)
    row indices:   2  5
PERM ( 1) =  1
PERM ( 2) =  4
PERM ( 3) =  3
PERM ( 4) =  5
PERM ( 5) =  2