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    The NMATMAX you have defined in your param.inc is the maximum size
    for a non mpi parallel calculation. If you use MPI, then the NMATMAX
    will be automatically increased by sqrt(nmpi). So if you want to
    increase your matrix size, the best way is to use mpi parallel
    execution. Simply increasing NMATMAX and recompiling lapw1 and then
    running it without mpi may lead to unrealistically high
    computational time.<br>
    And yes, the NMATMAX is really limiting the effective the RKmax, as
    you need more matrix elements to represent a bigger basis set.<br>
    <br>
    Best regards<br>
    <br>
    Maciej Polak<br>
    <br>
    <div class="moz-cite-prefix">On 07/12/2016 07:53 PM, Luis Ogando
      wrote:<br>
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cite="mid:CANpt3sjd3y3WbRrFZupt2eoHzRxS3ic9Bh8x9QrhAMa5csznog@mail.gmail.com"
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                        <div>Dear Wien2k community,<br>
                          <br>
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                           I am calculating a compound with H atoms. Due
                        to this, I used RKmax = 3.0 as recommended in
                        the Wien2k homepage.<br>
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                         The calculating run without a problem, but I
                      got :<br>
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                      :WARN :      WARNING: RKmax reduced due to NMATMAX<br>
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                       In $WIENROOT/SRC_lpaw1/param.inc I have
                    NMATMAX=13000 and, to my surprise, I also have :<br>
                    <br>
                    :RKM  : MATRIX SIZE 55150LOs: 295  RKM= 2.38 
                    WEIGHT= 1.00  PGR:<br>
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                  when I was expecting MATRIX SIZE <= NMATMAX<br>
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                   I would like to get an effective RKmax=3.0 for
                testing convergence and to get it I was thinking in
                changing NMATMAX in  $WIENROOT/SRC_lpaw1/param.inc and
                recompiling the SRC_lapw1 directory.<br>
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                 Well, as I am not sure if NMATMAX is really limiting
              the effective RKmax, I would like to know what I
              misunderstood and what is the correct procedure to
              increase the effective RKmax.<br>
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               Thank you for your attention !<br>
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             All the best,<br>
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                              Luis<br>
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