<p>In <a href="https://github.com/mlpack/mlpack/pull/746#discussion_r75233467">src/mlpack/core/tree/cellbound_impl.hpp</a>:</p>
<pre style='color:#555'>&gt; +  ElemType lower, higher;
&gt; +
&gt; +  for (size_t i = 0; i &lt; numBounds; i++)
&gt; +  {
&gt; +    ElemType sum = 0;
&gt; +
&gt; +    for (size_t d = 0; d &lt; dim; d++)
&gt; +    {
&gt; +      lower = loBound(d, i) - point[d];
&gt; +      higher = point[d] - hiBound(d, i);
&gt; +
&gt; +      // Since only one of &#39;lower&#39; or &#39;higher&#39; is negative, if we add each&#39;s
&gt; +      // absolute value to itself and then sum those two, our result is the
&gt; +      // nonnegative half of the equation times two; then we raise to power Power.
&gt; +      sum += pow((lower + fabs(lower)) + (higher + fabs(higher)),
&gt; +          (ElemType) MetricType::Power);
</pre>
<p>You can save a little bit of computation here if you terminate early:</p>

<pre><code>if (sum &gt;= minSum)
  continue;
</code></pre>

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