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chapter_backtracking/backtracking_algorithm/index.html
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<li class="md-nav__item">
<a href="#1316" class="md-nav__link">
13.1.6. &nbsp; 典型例题
13.1.6. &nbsp; 回溯典型例题
</a>
</li>
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<li class="md-nav__item">
<a href="#1316" class="md-nav__link">
13.1.6. &nbsp; 典型例题
13.1.6. &nbsp; 回溯典型例题
</a>
</li>
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<li>上文介绍过的剪枝是一种常用的优化方法。它可以避免搜索那些肯定不会产生有效解的路径，从而节省时间和空间。</li>
<li>另一个常用的优化方法是加入「启发式搜索 Heuristic Search」策略，它在搜索过程中引入一些策略或者估计值，从而优先搜索最有可能产生有效解的路径。</li>
</ul>
<h2 id="1316">13.1.6. &nbsp; 典型例题<a class="headerlink" href="#1316" title="Permanent link">&para;</a></h2>
<h2 id="1316">13.1.6. &nbsp; 回溯典型例题<a class="headerlink" href="#1316" title="Permanent link">&para;</a></h2>
<p><strong>搜索问题</strong>：这类问题的目标是找到满足特定条件的解决方案。</p>
<ul>
<li>全排列问题：给定一个集合，求出其所有可能的排列组合。</li>