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10.2 二分查找插入点
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第 12 章 分治
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第 14 章 动态规划
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14.3 DP 解题思路
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14.6 编辑距离问题
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第 15 章 贪心
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15.1 贪心算法
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15.3 最大容量问题
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15.4 最大切分乘积问题
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<p>图和树都都需要应用搜索算法来实现遍历操作。图的遍历方式可分为两种:「广度优先遍历 breadth-first traversal」和「深度优先遍历 depth-first traversal」。它们也常被称为「广度优先搜索 breadth-first search」和「深度优先搜索 depth-first search」,简称 BFS 和 DFS 。</p>
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<h2 id="931">9.3.1 广度优先遍历<a class="headerlink" href="#931" title="Permanent link">¶</a></h2>
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<p><strong>广度优先遍历是一种由近及远的遍历方式,从某个节点出发,始终优先访问距离最近的顶点,并一层层向外扩张</strong>。如图 9-9 所示,从左上角顶点出发,先遍历该顶点的所有邻接顶点,然后遍历下一个顶点的所有邻接顶点,以此类推,直至所有顶点访问完毕。</p>
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<p><img alt="图的广度优先遍历" src="../graph_traversal.assets/graph_bfs.png" /></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="图的广度优先遍历" src="../graph_traversal.assets/graph_bfs.png" /></a></p>
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<p align="center"> 图 9-9 图的广度优先遍历 </p>
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<h3 id="1">1. 算法实现<a class="headerlink" href="#1" title="Permanent link">¶</a></h3>
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<div class="tabbed-set tabbed-alternate" data-tabs="2:11"><input checked="checked" id="__tabbed_2_1" name="__tabbed_2" type="radio" /><input id="__tabbed_2_2" name="__tabbed_2" type="radio" /><input id="__tabbed_2_3" name="__tabbed_2" type="radio" /><input id="__tabbed_2_4" name="__tabbed_2" type="radio" /><input id="__tabbed_2_5" name="__tabbed_2" type="radio" /><input id="__tabbed_2_6" name="__tabbed_2" type="radio" /><input id="__tabbed_2_7" name="__tabbed_2" type="radio" /><input id="__tabbed_2_8" name="__tabbed_2" type="radio" /><input id="__tabbed_2_9" name="__tabbed_2" type="radio" /><input id="__tabbed_2_10" name="__tabbed_2" type="radio" /><input id="__tabbed_2_11" name="__tabbed_2" type="radio" /><div class="tabbed-labels"><label for="__tabbed_2_1"><1></label><label for="__tabbed_2_2"><2></label><label for="__tabbed_2_3"><3></label><label for="__tabbed_2_4"><4></label><label for="__tabbed_2_5"><5></label><label for="__tabbed_2_6"><6></label><label for="__tabbed_2_7"><7></label><label for="__tabbed_2_8"><8></label><label for="__tabbed_2_9"><9></label><label for="__tabbed_2_10"><10></label><label for="__tabbed_2_11"><11></label></div>
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<p><img alt="图的广度优先遍历步骤" src="../graph_traversal.assets/graph_bfs_step1.png" /></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step1.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="图的广度优先遍历步骤" src="../graph_traversal.assets/graph_bfs_step1.png" /></a></p>
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<p><img alt="graph_bfs_step2" src="../graph_traversal.assets/graph_bfs_step2.png" /></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step2.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_bfs_step2" src="../graph_traversal.assets/graph_bfs_step2.png" /></a></p>
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<p><img alt="graph_bfs_step3" src="../graph_traversal.assets/graph_bfs_step3.png" /></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step3.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_bfs_step3" src="../graph_traversal.assets/graph_bfs_step3.png" /></a></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step4.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_bfs_step4" src="../graph_traversal.assets/graph_bfs_step4.png" /></a></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step10.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_bfs_step10" src="../graph_traversal.assets/graph_bfs_step10.png" /></a></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_bfs_step11.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_bfs_step11" src="../graph_traversal.assets/graph_bfs_step11.png" /></a></p>
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<p><strong>空间复杂度:</strong> 列表 <code>res</code> ,哈希表 <code>visited</code> ,队列 <code>que</code> 中的顶点数量最多为 <span class="arithmatex">\(|V|\)</span> ,使用 <span class="arithmatex">\(O(|V|)\)</span> 空间。</p>
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<h2 id="932">9.3.2 深度优先遍历<a class="headerlink" href="#932" title="Permanent link">¶</a></h2>
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<p><strong>深度优先遍历是一种优先走到底、无路可走再回头的遍历方式</strong>。如图 9-11 所示,从左上角顶点出发,访问当前顶点的某个邻接顶点,直到走到尽头时返回,再继续走到尽头并返回,以此类推,直至所有顶点遍历完成。</p>
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<p><img alt="图的深度优先遍历" src="../graph_traversal.assets/graph_dfs.png" /></p>
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<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="图的深度优先遍历" src="../graph_traversal.assets/graph_dfs.png" /></a></p>
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<p align="center"> 图 9-11 图的深度优先遍历 </p>
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<h3 id="1_1">1. 算法实现<a class="headerlink" href="#1_1" title="Permanent link">¶</a></h3>
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|
||||
<div class="tabbed-set tabbed-alternate" data-tabs="4:11"><input checked="checked" id="__tabbed_4_1" name="__tabbed_4" type="radio" /><input id="__tabbed_4_2" name="__tabbed_4" type="radio" /><input id="__tabbed_4_3" name="__tabbed_4" type="radio" /><input id="__tabbed_4_4" name="__tabbed_4" type="radio" /><input id="__tabbed_4_5" name="__tabbed_4" type="radio" /><input id="__tabbed_4_6" name="__tabbed_4" type="radio" /><input id="__tabbed_4_7" name="__tabbed_4" type="radio" /><input id="__tabbed_4_8" name="__tabbed_4" type="radio" /><input id="__tabbed_4_9" name="__tabbed_4" type="radio" /><input id="__tabbed_4_10" name="__tabbed_4" type="radio" /><input id="__tabbed_4_11" name="__tabbed_4" type="radio" /><div class="tabbed-labels"><label for="__tabbed_4_1"><1></label><label for="__tabbed_4_2"><2></label><label for="__tabbed_4_3"><3></label><label for="__tabbed_4_4"><4></label><label for="__tabbed_4_5"><5></label><label for="__tabbed_4_6"><6></label><label for="__tabbed_4_7"><7></label><label for="__tabbed_4_8"><8></label><label for="__tabbed_4_9"><9></label><label for="__tabbed_4_10"><10></label><label for="__tabbed_4_11"><11></label></div>
|
||||
<div class="tabbed-content">
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="图的深度优先遍历步骤" src="../graph_traversal.assets/graph_dfs_step1.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step1.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="图的深度优先遍历步骤" src="../graph_traversal.assets/graph_dfs_step1.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step2" src="../graph_traversal.assets/graph_dfs_step2.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step2.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step2" src="../graph_traversal.assets/graph_dfs_step2.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step3" src="../graph_traversal.assets/graph_dfs_step3.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step3.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step3" src="../graph_traversal.assets/graph_dfs_step3.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step4" src="../graph_traversal.assets/graph_dfs_step4.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step4.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step4" src="../graph_traversal.assets/graph_dfs_step4.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step5" src="../graph_traversal.assets/graph_dfs_step5.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step5.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step5" src="../graph_traversal.assets/graph_dfs_step5.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step6" src="../graph_traversal.assets/graph_dfs_step6.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step6.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step6" src="../graph_traversal.assets/graph_dfs_step6.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step7" src="../graph_traversal.assets/graph_dfs_step7.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step7.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step7" src="../graph_traversal.assets/graph_dfs_step7.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step8" src="../graph_traversal.assets/graph_dfs_step8.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step8.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step8" src="../graph_traversal.assets/graph_dfs_step8.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step9" src="../graph_traversal.assets/graph_dfs_step9.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step9.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step9" src="../graph_traversal.assets/graph_dfs_step9.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step10" src="../graph_traversal.assets/graph_dfs_step10.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step10.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step10" src="../graph_traversal.assets/graph_dfs_step10.png" /></a></p>
|
||||
</div>
|
||||
<div class="tabbed-block">
|
||||
<p><img alt="graph_dfs_step11" src="../graph_traversal.assets/graph_dfs_step11.png" /></p>
|
||||
<p><a class="glightbox" href="../graph_traversal.assets/graph_dfs_step11.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="graph_dfs_step11" src="../graph_traversal.assets/graph_dfs_step11.png" /></a></p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -4507,10 +4342,15 @@ aria-label="页脚"
|
||||
<div class="md-copyright">
|
||||
|
||||
<div class="md-copyright__highlight">
|
||||
Copyright © 2023 Krahets
|
||||
Copyright © 2022 - 2023 Krahets
|
||||
</div>
|
||||
|
||||
|
||||
Made with
|
||||
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
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||||
Material for MkDocs
|
||||
</a>
|
||||
|
||||
</div>
|
||||
|
||||
<!-- Social links -->
|
||||
@@ -4579,5 +4419,5 @@ aria-label="页脚"
|
||||
|
||||
|
||||
|
||||
</body>
|
||||
<script>document$.subscribe(() => {const lightbox = GLightbox({"touchNavigation": true, "loop": false, "zoomable": true, "draggable": false, "openEffect": "zoom", "closeEffect": "zoom", "slideEffect": "none"});})</script></body>
|
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</html>
|
||||
Reference in New Issue
Block a user