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    <p>Yes, that would be exactly what I need, I have not thought about
      that possibility, thanks!</p>
    <p>Concerning slicing: Assumed my matrix A and vector v are defined
      by</p>
    <p>A = |a b|<br>
             |c d|<br>
      v = |w x y z|</p>
    <p>After v is larger than the row size of A, I only can take some
      elements for multiplication and therefore I have to use only a
      slice of vector v:</p>
    <p>A*v[1:2] =  |xa yb|<br>
                          |xc yd|</p>
    <p>or</p>
    <p>A*v[0:1] =    |wa xb|<br>
                            |wc xd|</p>
    <p>How could I do that?</p>
    <p>Thanks,</p>
    <p>Roland<br>
    </p>
    <p><br>
    </p>
    <div class="moz-cite-prefix">Am 08.12.2020 um 19:26 schrieb Matthew
      Knepley:<br>
    </div>
    <blockquote type="cite"
cite="mid:CAMYG4G=bQtqDqTsj3+RtOMgmSURqbcJ=Any5TFmraMR6GwHcvA@mail.gmail.com">
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        <div dir="ltr">On Tue, Dec 8, 2020 at 1:13 PM Roland Richter
          <<a href="mailto:roland.richter@ntnu.no"
            moz-do-not-send="true">roland.richter@ntnu.no</a>> wrote:<br>
        </div>
        <div class="gmail_quote">
          <blockquote class="gmail_quote" style="margin:0px 0px 0px
            0.8ex;border-left:1px solid
            rgb(204,204,204);padding-left:1ex">Hei,<br>
            <br>
            I would like to multiply a row-vector to each row in a dense
            matrix,<br>
            either full or sliced (i.e. if the row-vector is larger than
            the row<br>
            length of the matrix). Armadillo offers a
            each_row()-function, where I<br>
            can iterate over all rows in a matrix and multiply the
            vector to them<br>
            (similar to the operation VecPointwiseMult()). Is there a
            similar<br>
            operation in PETSc? Ideally with the option of only
            multiplying a<br>
            part/slice of the row vector to each row, if the
            corresponding row of<br>
            the target matrix is shorter than the initial row vector.<br>
          </blockquote>
          <div><br>
          </div>
          <div>It helps to write in linear algebra notation so that we
            can be sure we are talking</div>
          <div>about the same thing. Say we have the matrix A and vector
            v</div>
          <div><br>
          </div>
          <div>  A = / a b \  v = <m, n></div>
          <div>        \ c d /</div>
          <div><br>
          </div>
          <div>and you want</div>
          <div><br>
          </div>
          <div>  A * m = / ma nb \ = / a b \ / m 0 \ = A . diag(v)</div>
          <div>               \ mc nd /    \ c d /  \ 0  n /</div>
          <div><br>
          </div>
          <div>which you can get using <a
href="https://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/MatDiagonalScale.html"
              moz-do-not-send="true">https://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/MatDiagonalScale.html</a></div>
          <div><br>
          </div>
          <div>is that what you want? I do not have a clear picture of
            what you want slicing for.</div>
          <div><br>
          </div>
          <div>  Thanks,</div>
          <div><br>
          </div>
          <div>     Matt</div>
          <div> </div>
          <blockquote class="gmail_quote" style="margin:0px 0px 0px
            0.8ex;border-left:1px solid
            rgb(204,204,204);padding-left:1ex">
            Thanks,<br>
            <br>
            Roland<br>
            <br>
          </blockquote>
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        <div><br>
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        -- <br>
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                    <div>What most experimenters take for granted before
                      they begin their experiments is infinitely more
                      interesting than any results to which their
                      experiments lead.<br>
                      -- Norbert Wiener</div>
                    <div><br>
                    </div>
                    <div><a href="http://www.cse.buffalo.edu/~knepley/"
                        target="_blank" moz-do-not-send="true">https://www.cse.buffalo.edu/~knepley/</a><br>
                    </div>
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