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10.2 Binary search insertion
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10.3 Binary search boundaries
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10.5 Search algorithms revisited
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Chapter 11. Sorting
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11.1 Sorting algorithms
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11.2 Selection sort
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11.3 Bubble sort
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11.4 Insertion sort
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11.5 Quick sort
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11.6 Merge sort
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11.7 Heap sort
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11.8 Bucket sort
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11.9 Counting sort
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11.10 Radix sort
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12.2 Divide and conquer search strategy
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15.1 Greedy algorithms
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<h1 id="chapter-12-divide-and-conquer">Chapter 12. &nbsp; Divide and conquer<a class="headerlink" href="#chapter-12-divide-and-conquer" title="Permanent link">&para;</a></h1>
<p><a class="glightbox" href="../assets/covers/chapter_divide_and_conquer.jpg" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="Divide and Conquer" class="cover-image" src="../assets/covers/chapter_divide_and_conquer.jpg" /></a></p>
<div class="admonition abstract">
<p class="admonition-title">Abstract</p>
<p>Difficult problems are decomposed layer by layer, each decomposition making them simpler.</p>
<p>Divide and conquer reveals an important truth: start with simplicity, and nothing is complex anymore.</p>
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<h2 id="chapter-contents">Chapter contents<a class="headerlink" href="#chapter-contents" title="Permanent link">&para;</a></h2>
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<li><a href="divide_and_conquer/">12.1 &nbsp; Divide and conquer algorithms</a></li>
<li><a href="binary_search_recur/">12.2 &nbsp; Divide and conquer search strategy</a></li>
<li><a href="build_binary_tree_problem/">12.3 &nbsp; Building binary tree problem</a></li>
<li><a href="hanota_problem/">12.4 &nbsp; Tower of Hanoi Problem</a></li>
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