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libigl_Martin


			
				
					
						
						
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    <title>MATLAB to Eigen</title>
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      <tr class="header">
        <th>MATLAB</th>
        <th>Eigen</th>
        <th>Notes</th>
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      <tr class=d0>
        <td><pre><code>[Y,IX] = sort(Y,dim,mode)</code></pre></td>
        <td><pre><code>igl::sort(X,dim,mode,Y,IX)</code></pre></td>
        <td>MATLAB version allows Y to be a multidimensional matrix, but the
        Eigen version is only for 1D or 2D matrices.</td>
      </tr>

      <tr class=d1>
        <td><pre><code>B(i:(i+w),j:(j+h)) = A(x:(x+w),y:(y+h))</code></pre></td>
        <td><pre><code>B.block(i,j,w,h) = A.block(i,j,w,h)</code></pre></td>
        <td>MATLAB version would allow w and h to be non-positive since the
        colon operator evaluates to a list of indices, but the Eigen version
        needs non-negative width and height values.</td>
      </tr>

      <tr class=d0>
        <td><pre><code>max(A(:))</code></pre></td>
        <td><pre><code>A.maxCoeff()</code></pre></td>
        <td>Find the maximum coefficient over all entries of the matrix.</td>
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      <tr class=d1>
        <td><pre><code>min(A(:))</code></pre></td>
        <td><pre><code>A.minCoeff()</code></pre></td>
        <td>Find the minimum coefficient over all entries of the matrix.</td>
      </tr>

      <tr class=d0>
        <td><pre><code>eye(w,h)</code></pre></td>
        <td><pre><code>MatrixXd::Identity(w,h), MatrixXf::Identity(w,h), etc.</code></pre></td>
        <td></td>
      </tr>

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        <td><pre><code>A(i:(i+w),j:(j+h)) = eye(w,h)</code></pre></td>
        <td><pre><code>A.setIdentity()</code></pre></td>
        <td></td>
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      <tr class=d0>
        <td><pre><code>[I,J,V] = find(X)</code></pre></td>
        <td><pre><code>igl::find(X,I,J,V)</code></pre></td>
        <td>Matlab supports finding subscripts (I and J) as well as indices
        (just I), but so far igl::find only supports subscripts. Also,
        igl::find requires X to be sparse.</td>
      </tr>

      <tr class=d1>
        <td><pre><code>X(:,j) = X(:,j) + x</code></pre></td>
        <td><pre><code>X.col(j).array() += x</code></pre></td>
        <td></td>
      </tr>

      <tr class=d0>
        <td><pre><code>Adim_sum = sum(A,dim)</code></pre></td>
        <td><pre><code>igl::sum(A,dim,Adim_sum)</code></pre></td>
        <td>Currently the igl version only supports sparse matrix input (and
            dim must be 1 or 2)</td>
      </tr>

      <tr class=d1>
        <td><pre><code>D = diag(M)</code></pre></td>
        <td><pre><code>igl::diag(M,D)</code></pre></td>
        <td>Extract the main diagonal of a matrix. Currently igl version
        supports sparse only.</td>
      </tr>

      <tr class=d0>
        <td><pre><code>M = diag(D)</code></pre></td>
        <td><pre><code>igl::diag(D,M)</code></pre></td>
        <td>Construct new square matrix M with entries of vector D along the
        diagonal. Currently igl version supports sparse only.</td>
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      <tr class=d0>
        <td><pre><code>Matlab code</code></pre></td>
        <td><pre><code>Eigen code</code></pre></td>
        <td>Notes</td>
      </tr>

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