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    Dennis,<br>
    <br>
    Wow! Thanks for going above and beyond! This helps a lot. I'll try
    to look for a way to get a modified matrix that doesn't have all
    those zeros.<br>
    <br>
    Walter<br>
    <br>
    <div class="moz-cite-prefix">On 11/10/14 5:50 PM, Dennis Shea wrote:<br>
    </div>
    <blockquote
cite="mid:CAOF1d_7VTz2TU8BRDMqZFrD4r=w0_E+gbnXHWbUC2YNvQuA3hQ@mail.gmail.com"
      type="cite">
      <div dir="ltr">
        <div>
          <div>
            <div>You have rows of 0.0 ... I think that is causing
              issues. I'm sure some 'math-whiz' could answer but I
              attached a simple test code that reads your data (thx for
              providing). It calculates the inverse and the identity
              matrix. Note that NCL is using a direct call to the
              documented LAPACK routines.<br>
              <br>
              ===<br>
            </div>
            TEST1: duplicates your findings<br>
            <br>
          </div>
          TEST 2: create a bogus 20x20 array of random numbers. No row
          consists of all constants. Identity matrix is successfully
          calculated.<br>
          <br>
        </div>
        TEST 3: wherever the original array had a row of all 0.0,
        substitute random numbers. The identity matrix is successfully
        calculated.</div>
      <div class="gmail_extra"><br>
        <div class="gmail_quote">On Mon, Nov 10, 2014 at 1:57 PM, Walter
          Hannah <span dir="ltr">&lt;<a moz-do-not-send="true"
              href="mailto:whannah@atmos.colostate.edu" target="_blank">whannah@atmos.colostate.edu</a>&gt;</span>
          wrote:<br>
          <blockquote class="gmail_quote" style="margin:0 0 0
            .8ex;border-left:1px #ccc solid;padding-left:1ex">
            <div bgcolor="#FFFFFF" text="#000000"> Hi,<br>
              <br>
              I'm trying to use the "inverse_matrix" function. The
              matrix doesn't have any missing values, but I still get
              this error message:<br>
              <blockquote><tt>Variable: M</tt><tt><br>
                </tt><tt>Type: float</tt><tt><br>
                </tt><tt>Total Size: 1600 bytes</tt><tt><br>
                </tt><tt>            400 values</tt><tt><br>
                </tt><tt>Number of Dimensions: 2</tt><tt><br>
                </tt><tt>Dimensions and sizes:    [pertlev | 20] x
                  [tendlev | 20]</tt><tt><br>
                </tt><tt>Coordinates:</tt><tt><br>
                </tt><tt>            pertlev: [50..1950]</tt><tt><br>
                </tt><tt>            tendlev: [50..1950]</tt><tt><br>
                </tt><tt>Number Of Attributes: 2</tt><tt><br>
                </tt><tt>  missing_value :    9.96921e+36</tt><tt><br>
                </tt><tt>  _FillValue :    9.96921e+36</tt><tt><br>
                </tt><tt>(0)   
----------------------------------------------------------------------------</tt><tt><br>
                </tt><tt><br>
                </tt><tt>   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00   0.00<br>
                     0.00  -0.31  -0.06   0.15  -0.27  -0.56  -1.21 
                  -1.38  -1.36   1.49   0.00   0.00   4.65   0.37  
                  0.46   0.47   0.52   0.55   0.77   2.49<br>
                     0.00   0.26  -0.35  -0.29  -0.65  -1.13  -2.24 
                  -2.45  -2.47   2.91   0.00   0.00   4.07   2.45  
                  0.95   0.87   0.90   1.05   1.55   4.81<br>
                     0.00  -0.11   1.43  -0.91  -1.69  -1.52  -2.63 
                  -2.81  -2.69   3.17   0.00   0.00  -2.35   2.61  
                  1.49   1.01   1.00   1.18   1.78   5.32<br>
                     0.00  -0.02   0.55   1.08  -1.74  -2.04  -2.59 
                  -2.71  -2.39   2.63   0.00   0.00  -0.75  -1.10  
                  1.35   1.02   0.89   1.00   1.57   4.87<br>
                     0.00  -0.06   0.16   0.52   0.72  -1.86  -2.88 
                  -2.74  -2.29   2.31   0.00   0.00   0.31  -1.30 
                  -0.26   0.87   0.75   0.82   1.27   4.50<br>
                     0.00  -0.13  -0.07   0.20   0.54   0.27  -2.74 
                  -3.10  -2.27   2.04   0.00   0.00   0.08  -0.49 
                  -0.47   0.14   0.72   0.69   1.13   4.24<br>
                     0.00  -0.15  -0.06   0.20  -0.17   0.02  -0.77 
                  -3.87  -3.13   2.39   0.00   0.00   0.69  -0.08  
                  0.09   0.03   0.36   0.90   1.29   4.59<br>
                     0.00  -0.14   0.05   0.09  -0.17  -0.29  -0.14 
                  -0.66  -5.36   2.00   0.00   0.00   0.39   0.17  
                  0.14   0.07  -0.01   0.22   1.00   4.05<br>
                     0.00   0.02  -0.07  -0.01   0.00   0.02   0.43  
                  0.94   0.77  -2.90   0.00   0.00  -0.09   0.09  -0.04 
                  -0.07  -0.17  -0.26  -0.49   0.54<br>
                     0.00   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00<br>
                     0.00   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00   0.00  
                  0.00   0.00   0.00   0.00   0.00   0.00<br>
                     0.00  -0.01  -0.04   0.12  -0.02  -0.01  -0.03 
                  -0.05  -0.05   0.04   0.00   0.00  -2.17  -0.25 
                  -0.14   0.01   0.02   0.02   0.02   0.12<br>
                     0.00   0.00  -0.19   0.11   0.28   0.06   0.11  
                  0.06   0.07  -0.13   0.00   0.00   2.75  -1.97  -0.04 
                  -0.12  -0.05  -0.05  -0.08  -0.10<br>
                     0.00  -0.02  -0.14  -0.08   0.31   0.21   0.13  
                  0.08   0.06  -0.08   0.00   0.00   0.48   1.11  -1.09 
                  -0.13  -0.10  -0.06  -0.09  -0.12<br>
                     0.00  -0.01  -0.03  -0.11  -0.07   0.32   0.27  
                  0.12   0.18  -0.17   0.00   0.00   0.02   0.63   0.52 
                  -0.94  -0.02  -0.15  -0.08  -0.25<br>
                     0.00   0.02   0.08  -0.06  -0.24   0.10   0.43  
                  0.26   0.16  -0.17   0.00   0.00   0.07   0.31  
                  0.35   0.40  -1.06  -0.06  -0.20  -0.26<br>
                     0.00   0.06   0.03  -0.10   0.07   0.11   1.03  
                  1.38   0.53  -1.10   0.00   0.00  -0.44   0.14 
                  -0.03   0.08   0.19  -1.61  -0.76  -1.16<br>
                     0.00   0.11  -0.03  -0.08   0.07   0.16   0.46  
                  1.28   1.65  -1.21   0.00   0.00  -0.25   0.07 
                  -0.06   0.00   0.14   0.41  -3.04  -0.66<br>
                     0.00   0.12  -0.30  -0.15   0.80   1.58   2.86  
                  3.62   5.02  -3.15   0.00   0.00  -1.23  -0.91  -0.80 
                  -0.94  -0.85  -0.66   0.21 -10.64<br>
                  <br>
                  (0)   
----------------------------------------------------------------------------<br>
                  (0)    # missing values: 0<br>
                  (0)    # values = 0.0  : 111</tt><tt><br>
                </tt><tt>warning:inverse_matrix: info = 1; missing
                  values not allowed</tt><br>
              </blockquote>
              <br>
              I thought it might have something to do with those zero
              values, but if I replace them with non-zero values I get a
              similar, but not identical, result:<br>
              <blockquote><tt>...<br>
                  (0)   
----------------------------------------------------------------------------</tt><tt><br>
                </tt><tt>(0)    # missing values: 0</tt><tt><br>
                </tt><tt>(0)    # values = 0.0  : 0</tt><tt><br>
                </tt><tt>warning:inverse_matrix: info = 20; missing
                  values not allowed</tt><br>
              </blockquote>
              <br>
              <br>
              Thanks,<br>
              Walter </div>
            <br>
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          </blockquote>
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        <br>
      </div>
    </blockquote>
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