Documentation for 554919d9f5

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<p>two elements a[i] and a[j] form an inversion if <code>a[i]</code> &gt; <code>a[j]</code> and i &lt; j</p>
<p>Time Complexity --&gt; <code>O(n.log n)</code></p>
<p>Space Complexity --&gt; <code>O(n)</code> ; additional array <code>temp[1..n]</code> </p>
<h3><a class="anchor" id="autotoc_md74"></a>
<h3><a class="anchor" id="autotoc_md76"></a>
Algorithm</h3>
<ol type="1">
<li>The idea is similar to merge sort, divide the array into two equal or almost equal halves in each step until the base case is reached.</li>

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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
Namespaces</h2></td></tr>
<tr class="memitem:d8/d77/namespacemachine__learning"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d8/d77/namespacemachine__learning.html">machine_learning</a></td></tr>
<tr class="memdesc:d8/d77/namespacemachine__learning"><td class="mdescLeft">&#160;</td><td class="mdescRight">Machine learning algorithms. <br /></td></tr>
<tr class="memdesc:d8/d77/namespacemachine__learning"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a href="https://en.wikipedia.org/wiki/A*_search_algorithm">A* search algorithm</a> <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:d0/d2e/namespaceneural__network"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d0/d2e/namespaceneural__network.html">neural_network</a></td></tr>
<tr class="memdesc:d0/d2e/namespaceneural__network"><td class="mdescLeft">&#160;</td><td class="mdescRight">Neural Network or Multilayer Perceptron. <br /></td></tr>

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<li>Call obj.update(node, new_val), to update the value at index 'node' to the new value. Note: node must be 0 indexed</li>
<li>Call obj.query(a, b) to get the (sum) of node values in the simple path from a to b. Note: a and b, must be 0 indexed.</li>
</ol>
<p>Sample I/O at the bottom. </p><dl class="todo"><dt><b><a class="el" href="../../dd/da0/todo.html#_todo000010">Todo:</a></b></dt><dd>Support edge weight queries, by storing the edge weight value in it's child algorithm verified by testing in CSES path queries: <a href="https://cses.fi/problemset/task/1138">https://cses.fi/problemset/task/1138</a> </dd></dl>
<p>Sample I/O at the bottom. </p><dl class="todo"><dt><b><a class="el" href="../../dd/da0/todo.html#_todo000011">Todo:</a></b></dt><dd>Support edge weight queries, by storing the edge weight value in it's child algorithm verified by testing in CSES path queries: <a href="https://cses.fi/problemset/task/1138">https://cses.fi/problemset/task/1138</a> </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
<a id="ae66f6b31b5ad750f1fe042a706a4e3d4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae66f6b31b5ad750f1fe042a706a4e3d4">&#9670;&nbsp;</a></span>main()</h2>

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<div class="title">std::is_arithmetic&lt; uint128_t &gt; Struct Reference</div> </div>
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Inheritance diagram for std::is_arithmetic&lt; uint128_t &gt;:</div>
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Collaboration diagram for std::is_arithmetic&lt; uint128_t &gt;:</div>
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<hr/>The documentation for this struct was generated from the following file:<ul>
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