deploy

1 year ago · 5d3d1d12b9
parent 45f9dbbbf6
commit 5d3d1d12b9
79 changed files with 153 additions and 153 deletions
--- a/assets/covers/chapter_array_and_linkedlist.jpg
+++ b/assets/covers/chapter_array_and_linkedlist.jpg
--- a/assets/covers/chapter_backtracking.jpg
+++ b/assets/covers/chapter_backtracking.jpg
--- a/assets/covers/chapter_complexity_analysis.jpg
+++ b/assets/covers/chapter_complexity_analysis.jpg
--- a/assets/covers/chapter_data_structure.jpg
+++ b/assets/covers/chapter_data_structure.jpg
--- a/assets/covers/chapter_dynamic_programming.jpg
+++ b/assets/covers/chapter_dynamic_programming.jpg
--- a/assets/covers/chapter_graph.jpg
+++ b/assets/covers/chapter_graph.jpg
--- a/assets/covers/chapter_hash_map.jpg
+++ b/assets/covers/chapter_hash_map.jpg
--- a/assets/covers/chapter_heap.jpg
+++ b/assets/covers/chapter_heap.jpg
--- a/assets/covers/chapter_introduction.jpg
+++ b/assets/covers/chapter_introduction.jpg
--- a/assets/covers/chapter_preface.jpg
+++ b/assets/covers/chapter_preface.jpg
--- a/assets/covers/chapter_searching.jpg
+++ b/assets/covers/chapter_searching.jpg
--- a/assets/covers/chapter_sorting_algorithm.jpg
+++ b/assets/covers/chapter_sorting_algorithm.jpg
--- a/assets/covers/chapter_stack_and_queue.jpg
+++ b/assets/covers/chapter_stack_and_queue.jpg
--- a/assets/covers/chapter_tree.jpg
+++ b/assets/covers/chapter_tree.jpg
--- a/chapter_appendix/contribution/index.html
+++ b/chapter_appendix/contribution/index.html
@ -1978,7 +1978,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_appendix/installation/index.html
+++ b/chapter_appendix/installation/index.html
@ -2074,7 +2074,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_array_and_linkedlist/array/index.html
+++ b/chapter_array_and_linkedlist/array/index.html
@ -2814,7 +2814,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_array_and_linkedlist/linked_list/index.html
+++ b/chapter_array_and_linkedlist/linked_list/index.html
@ -2916,7 +2916,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_array_and_linkedlist/list/index.html
+++ b/chapter_array_and_linkedlist/list/index.html
@ -3560,7 +3560,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_array_and_linkedlist/summary/index.html
+++ b/chapter_array_and_linkedlist/summary/index.html
@ -2034,7 +2034,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_backtracking/backtracking_algorithm/index.html
+++ b/chapter_backtracking/backtracking_algorithm/index.html
@ -2310,8 +2310,8 @@
 <p>复杂的回溯问题通常包含一个或多个约束条件，<strong>约束条件通常可用于“剪枝”</strong>。</p>
 <div class="admonition question">
 <p class="admonition-title">例题三</p>
-</div>
 <p>在二叉树中搜索所有值为 <span class="arithmatex">\(7\)</span> 的节点，返回根节点到这些节点的路径，<strong>路径中不能包含值为 <span class="arithmatex">\(3\)</span> 的节点</strong>。</p>
+</div>
 <p><strong>解题思路</strong>：在例题二的基础上添加剪枝操作，当遇到值为 <span class="arithmatex">\(3\)</span> 的节点时，则终止继续搜索。</p>
 <div class="tabbed-set tabbed-alternate" data-tabs="4:10"><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" /><div class="tabbed-labels"><label for="__tabbed_4_1">Java</label><label for="__tabbed_4_2">C++</label><label for="__tabbed_4_3">Python</label><label for="__tabbed_4_4">Go</label><label for="__tabbed_4_5">JavaScript</label><label for="__tabbed_4_6">TypeScript</label><label for="__tabbed_4_7">C</label><label for="__tabbed_4_8">C#</label><label for="__tabbed_4_9">Swift</label><label for="__tabbed_4_10">Zig</label></div>
 <div class="tabbed-content">
@ -3213,7 +3213,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_backtracking/n_queens_problem/index.html
+++ b/chapter_backtracking/n_queens_problem/index.html
@ -2374,7 +2374,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_backtracking/permutations_problem/index.html
+++ b/chapter_backtracking/permutations_problem/index.html
@ -2599,7 +2599,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_computational_complexity/performance_evaluation/index.html
+++ b/chapter_computational_complexity/performance_evaluation/index.html
@ -2014,7 +2014,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_computational_complexity/space_complexity/index.html
+++ b/chapter_computational_complexity/space_complexity/index.html
@ -3508,7 +3508,7 @@ O(1) &lt; O(\log n) &lt; O(n) &lt; O(n^2) &lt; O(2^n) \newline
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_computational_complexity/summary/index.html
+++ b/chapter_computational_complexity/summary/index.html
@ -1954,7 +1954,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_computational_complexity/time_complexity/index.html
+++ b/chapter_computational_complexity/time_complexity/index.html
@ -4641,7 +4641,7 @@ n! = n \times (n - 1) \times (n - 2) \times \cdots \times 2 \times 1
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_data_structure/basic_data_types/index.html
+++ b/chapter_data_structure/basic_data_types/index.html
@ -2044,7 +2044,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_data_structure/character_encoding/index.html
+++ b/chapter_data_structure/character_encoding/index.html
@ -2031,7 +2031,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_data_structure/classification_of_data_structure/index.html
+++ b/chapter_data_structure/classification_of_data_structure/index.html
@ -1963,7 +1963,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_data_structure/number_encoding/index.html
+++ b/chapter_data_structure/number_encoding/index.html
@ -2068,7 +2068,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_data_structure/summary/index.html
+++ b/chapter_data_structure/summary/index.html
@ -1941,7 +1941,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_graph/graph/index.html
+++ b/chapter_graph/graph/index.html
@ -2093,7 +2093,7 @@ G &amp; = \{ V, E \} \newline
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_graph/graph_operations/index.html
+++ b/chapter_graph/graph_operations/index.html
@ -3416,7 +3416,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_graph/graph_traversal/index.html
+++ b/chapter_graph/graph_traversal/index.html
@ -2606,7 +2606,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_graph/summary/index.html
+++ b/chapter_graph/summary/index.html
@ -1943,7 +1943,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_hashing/hash_collision/index.html
+++ b/chapter_hashing/hash_collision/index.html
@ -1993,7 +1993,7 @@
 </ul>
 <p>为了提高操作效率，<strong>可以将链表转换为「AVL 树」或「红黑树」</strong>，将查询操作的时间复杂度优化至 <span class="arithmatex">\(O(\log n)\)</span> 。</p>
 <h2 id="623">6.2.3. &nbsp; 开放寻址<a class="headerlink" href="#623" title="Permanent link">&para;</a></h2>
-<p>「开放寻址」方法不引入额外的数据结构，而是通过“多次探测”来解决哈希冲突，<strong>探测方主要包括线性探测、平方探测、多次哈希</strong>。</p>
+<p>「开放寻址」方法不引入额外的数据结构，而是通过“多次探测”来解决哈希冲突，<strong>探测方式主要包括线性探测、平方探测、多次哈希</strong>。</p>
 <h3 id="_1">线性探测<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h3>
 <p>「线性探测」采用固定步长的线性查找来解决哈希冲突。</p>
 <p><strong>插入元素</strong>：若出现哈希冲突，则从冲突位置向后线性遍历（步长通常为 <span class="arithmatex">\(1\)</span> ），直至找到空位，将元素插入其中。</p>
@ -2042,7 +2042,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_hashing/hash_map/index.html
+++ b/chapter_hashing/hash_map/index.html
@ -3176,7 +3176,7 @@ f(12836) = f(20336) = 36
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_hashing/summary/index.html
+++ b/chapter_hashing/summary/index.html
@ -1881,7 +1881,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_heap/build_heap/index.html
+++ b/chapter_heap/build_heap/index.html
@ -2115,7 +2115,7 @@ T(h) &amp; = 2 \frac{1 - 2^h}{1 - 2} - h \newline
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_heap/heap/index.html
+++ b/chapter_heap/heap/index.html
@ -3299,7 +3299,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_heap/summary/index.html
+++ b/chapter_heap/summary/index.html
@ -1878,7 +1878,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_introduction/algorithms_are_everywhere/index.html
+++ b/chapter_introduction/algorithms_are_everywhere/index.html
@ -1908,7 +1908,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_introduction/summary/index.html
+++ b/chapter_introduction/summary/index.html
@ -1877,7 +1877,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_introduction/what_is_dsa/index.html
+++ b/chapter_introduction/what_is_dsa/index.html
@ -2003,7 +2003,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_preface/about_the_book/index.html
+++ b/chapter_preface/about_the_book/index.html
@ -1959,7 +1959,7 @@
 <li>感谢 @squidfunk 提供的写作排版建议，以及杰出的开源项目 <a href="https://github.com/squidfunk/mkdocs-material/tree/master">Material-for-MkDocs</a> 。</li>
 </ul>
 <p>在写作过程中，我阅读了许多关于数据结构与算法的教材和文章。这些作品为本书提供了优秀的范本，确保了本书内容的准确性与品质。在此感谢所有老师和前辈们的杰出贡献！</p>
-<p>本书倡导“手脑并用”的学习方法，在此方面深受《动手学深度学习》的启发。在此向各位读者强烈推荐这本优秀著作，包括<a href="https://github.com/d2l-ai/d2l-zh">中文版</a>、<a href="https://github.com/d2l-ai/d2l-en">英文版</a>、<a href="https://space.bilibili.com/1567748478">李沐老师 bilibili 主页</a>。</p>
+<p>本书倡导手脑并用的学习方式，在这一点上深受<a href="https://github.com/d2l-ai/d2l-zh">《动手学深度学习》</a>的启发。在此向各位读者强烈推荐这本优秀著作。</p>
 <p>衷心感谢我的父母，正是你们一直以来的支持与鼓励，让我有机会做这些富有趣味的事。</p>


@ -1978,7 +1978,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_preface/suggestions/index.html
+++ b/chapter_preface/suggestions/index.html
@ -342,35 +342,35 @@
      
        <li class="md-nav__item">
  <a href="#021" class="md-nav__link">
-    0.2.1. &nbsp; 算法学习路线
+    0.2.1. &nbsp; 行文风格约定
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#022" class="md-nav__link">
-    0.2.2. &nbsp; 行文风格约定
+    0.2.2. &nbsp; 在动画图解中高效学习
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#023" class="md-nav__link">
-    0.2.3. &nbsp; 在动画图解中高效学习
+    0.2.3. &nbsp; 在代码实践中加深理解
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#024" class="md-nav__link">
-    0.2.4. &nbsp; 在代码实践中加深理解
+    0.2.4. &nbsp; 在提问讨论中共同成长
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#025" class="md-nav__link">
-    0.2.5. &nbsp; 在提问讨论中共同成长
+    0.2.5. &nbsp; 算法学习路线
  </a>
  
 </li>
@ -1898,35 +1898,35 @@
      
        <li class="md-nav__item">
  <a href="#021" class="md-nav__link">
-    0.2.1. &nbsp; 算法学习路线
+    0.2.1. &nbsp; 行文风格约定
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#022" class="md-nav__link">
-    0.2.2. &nbsp; 行文风格约定
+    0.2.2. &nbsp; 在动画图解中高效学习
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#023" class="md-nav__link">
-    0.2.3. &nbsp; 在动画图解中高效学习
+    0.2.3. &nbsp; 在代码实践中加深理解
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#024" class="md-nav__link">
-    0.2.4. &nbsp; 在代码实践中加深理解
+    0.2.4. &nbsp; 在提问讨论中共同成长
  </a>
  
 </li>
      
        <li class="md-nav__item">
  <a href="#025" class="md-nav__link">
-    0.2.5. &nbsp; 在提问讨论中共同成长
+    0.2.5. &nbsp; 算法学习路线
  </a>
  
 </li>
@ -1959,18 +1959,7 @@
 <p class="admonition-title">Tip</p>
 <p>为了获得最佳的阅读体验，建议您通读本节内容。</p>
 </div>
-<h2 id="021">0.2.1. &nbsp; 算法学习路线<a class="headerlink" href="#021" title="Permanent link">&para;</a></h2>
-<p>从总体上看，我们可以将学习数据结构与算法的过程划分为三个阶段：</p>
-<ol>
-<li><strong>算法入门</strong>。我们需要熟悉各种数据结构的特点和用法，学习不同算法的原理、流程、用途和效率等方面内容。</li>
-<li><strong>刷算法题</strong>。建议从热门题目开刷，如<a href="https://leetcode.cn/problem-list/xb9nqhhg/">剑指 Offer</a>和<a href="https://leetcode.cn/problem-list/2cktkvj/">LeetCode Hot 100</a>，先积累至少 100 道题目，熟悉主流的算法问题。初次刷题时，“知识遗忘”可能是一个挑战，但请放心，这是很正常的。我们可以按照“艾宾浩斯遗忘曲线”来复习题目，通常在进行 3-5 轮的重复后，就能将其牢记在心。</li>
-<li><strong>搭建知识体系</strong>。在学习方面，我们可以阅读算法专栏文章、解题框架和算法教材，以不断丰富知识体系。在刷题方面，可以尝试采用进阶刷题策略，如按专题分类、一题多解、一解多题等，相关的刷题心得可以在各个社区找到。</li>
-</ol>
-<p>作为一本入门教程，本书内容主要涵盖“第一阶段”，旨在帮助你更高效地展开第二和第三阶段的学习。</p>
-<p><img alt="算法学习路线" src="../suggestions.assets/learning_route.png" /></p>
-<p align="center"> Fig. 算法学习路线 </p>
-
-<h2 id="022">0.2.2. &nbsp; 行文风格约定<a class="headerlink" href="#022" title="Permanent link">&para;</a></h2>
+<h2 id="021">0.2.1. &nbsp; 行文风格约定<a class="headerlink" href="#021" title="Permanent link">&para;</a></h2>
 <p>标题后标注 <code>*</code> 的是选读章节，内容相对困难。如果你的时间有限，建议可以先跳过。</p>
 <p>文章中的重要名词会用 <code>「 」</code> 括号标注，例如 <code>「数组 Array」</code> 。请务必记住这些名词，包括英文翻译，以便后续阅读文献时使用。</p>
 <p><strong>加粗的文字</strong> 表示重点内容或总结性语句，这类文字值得特别关注。</p>
@ -2088,13 +2077,13 @@
 </div>
 </div>
 </div>
-<h2 id="023">0.2.3. &nbsp; 在动画图解中高效学习<a class="headerlink" href="#023" title="Permanent link">&para;</a></h2>
+<h2 id="022">0.2.2. &nbsp; 在动画图解中高效学习<a class="headerlink" href="#022" title="Permanent link">&para;</a></h2>
 <p>相较于文字，视频和图片具有更高的信息密度和结构化程度，因此更易于理解。在本书中，<strong>重点和难点知识将主要通过动画和图解形式展示</strong>，而文字则作为动画和图片的解释与补充。</p>
 <p>在阅读本书时，如果发现某段内容提供了动画或图解，<strong>建议以图为主线</strong>，以文字（通常位于图像上方）为辅，综合两者来理解内容。</p>
 <p><img alt="动画图解示例" src="../../index.assets/animation.gif" /></p>
 <p align="center"> Fig. 动画图解示例 </p>

-<h2 id="024">0.2.4. &nbsp; 在代码实践中加深理解<a class="headerlink" href="#024" title="Permanent link">&para;</a></h2>
+<h2 id="023">0.2.3. &nbsp; 在代码实践中加深理解<a class="headerlink" href="#023" title="Permanent link">&para;</a></h2>
 <p>本书的配套代码托管在<a href="https://github.com/krahets/hello-algo">GitHub 仓库</a>，<strong>源代码包含详细注释，并附有测试样例，可直接运行</strong>。</p>
 <p>如果学习时间有限，建议你至少通读并运行所有代码。如果时间充裕，<strong>建议参照代码自行敲一遍</strong>。与仅阅读代码相比，编写代码的过程往往能带来更多收获。</p>
 <p><img alt="运行代码示例" src="../../index.assets/running_code.gif" /></p>
@ -2112,12 +2101,23 @@
 <p><img alt="代码块与对应的源代码文件" src="../suggestions.assets/code_md_to_repo.png" /></p>
 <p align="center"> Fig. 代码块与对应的源代码文件 </p>

-<h2 id="025">0.2.5. &nbsp; 在提问讨论中共同成长<a class="headerlink" href="#025" title="Permanent link">&para;</a></h2>
+<h2 id="024">0.2.4. &nbsp; 在提问讨论中共同成长<a class="headerlink" href="#024" title="Permanent link">&para;</a></h2>
 <p>阅读本书时，请不要“惯着”那些没学明白的知识点。<strong>欢迎在评论区提出你的问题</strong>，我和其他小伙伴们将竭诚为你解答，一般情况下可在两天内得到回复。</p>
 <p>同时，也希望您能在评论区多花些时间。一方面，您可以了解大家遇到的问题，从而查漏补缺，这将有助于激发更深入的思考。另一方面，希望您能慷慨地回答其他小伙伴的问题、分享您的见解，让大家共同学习和进步。</p>
 <p><img alt="评论区示例" src="../../index.assets/comment.gif" /></p>
 <p align="center"> Fig. 评论区示例 </p>

+<h2 id="025">0.2.5. &nbsp; 算法学习路线<a class="headerlink" href="#025" title="Permanent link">&para;</a></h2>
+<p>从总体上看，我们可以将学习数据结构与算法的过程划分为三个阶段：</p>
+<ol>
+<li><strong>算法入门</strong>。我们需要熟悉各种数据结构的特点和用法，学习不同算法的原理、流程、用途和效率等方面内容。</li>
+<li><strong>刷算法题</strong>。建议从热门题目开刷，如<a href="https://leetcode.cn/problem-list/xb9nqhhg/">剑指 Offer</a>和<a href="https://leetcode.cn/problem-list/2cktkvj/">LeetCode Hot 100</a>，先积累至少 100 道题目，熟悉主流的算法问题。初次刷题时，“知识遗忘”可能是一个挑战，但请放心，这是很正常的。我们可以按照“艾宾浩斯遗忘曲线”来复习题目，通常在进行 3-5 轮的重复后，就能将其牢记在心。</li>
+<li><strong>搭建知识体系</strong>。在学习方面，我们可以阅读算法专栏文章、解题框架和算法教材，以不断丰富知识体系。在刷题方面，可以尝试采用进阶刷题策略，如按专题分类、一题多解、一解多题等，相关的刷题心得可以在各个社区找到。</li>
+</ol>
+<p>作为一本入门教程，本书内容主要涵盖“第一阶段”，旨在帮助你更高效地展开第二和第三阶段的学习。</p>
+<p><img alt="算法学习路线" src="../suggestions.assets/learning_route.png" /></p>
+<p align="center"> Fig. 算法学习路线 </p>
+



@ -2134,7 +2134,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_preface/summary/index.html
+++ b/chapter_preface/summary/index.html
@ -1878,7 +1878,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_searching/binary_search/index.html
+++ b/chapter_searching/binary_search/index.html
@ -2428,7 +2428,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_searching/binary_search_edge/index.html
+++ b/chapter_searching/binary_search_edge/index.html
@ -2264,7 +2264,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_searching/replace_linear_by_hashing/index.html
+++ b/chapter_searching/replace_linear_by_hashing/index.html
@ -2323,7 +2323,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_searching/searching_algorithm_revisited/index.html
+++ b/chapter_searching/searching_algorithm_revisited/index.html
@ -2062,7 +2062,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_searching/summary/index.html
+++ b/chapter_searching/summary/index.html
@ -1878,7 +1878,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/bubble_sort/index.html
+++ b/chapter_sorting/bubble_sort/index.html
@ -2382,7 +2382,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/bucket_sort/index.html
+++ b/chapter_sorting/bucket_sort/index.html
@ -2225,7 +2225,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/counting_sort/index.html
+++ b/chapter_sorting/counting_sort/index.html
@ -2574,7 +2574,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/heap_sort/index.html
+++ b/chapter_sorting/heap_sort/index.html
@ -2227,7 +2227,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/insertion_sort/index.html
+++ b/chapter_sorting/insertion_sort/index.html
@ -2146,7 +2146,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/merge_sort/index.html
+++ b/chapter_sorting/merge_sort/index.html
@ -2471,7 +2471,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/quick_sort/index.html
+++ b/chapter_sorting/quick_sort/index.html
@ -3018,7 +3018,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/radix_sort/index.html
+++ b/chapter_sorting/radix_sort/index.html
@ -2496,7 +2496,7 @@ x_k = \lfloor\frac{x}{d^{k-1}}\rfloor \bmod d
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/selection_sort/index.html
+++ b/chapter_sorting/selection_sort/index.html
@ -2087,7 +2087,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/sorting_algorithm/index.html
+++ b/chapter_sorting/sorting_algorithm/index.html
@ -1963,7 +1963,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_sorting/summary/index.html
+++ b/chapter_sorting/summary/index.html
@ -1939,7 +1939,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_stack_and_queue/deque/index.html
+++ b/chapter_stack_and_queue/deque/index.html
@ -4608,7 +4608,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_stack_and_queue/queue/index.html
+++ b/chapter_stack_and_queue/queue/index.html
@ -3707,7 +3707,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_stack_and_queue/stack/index.html
+++ b/chapter_stack_and_queue/stack/index.html
@ -3438,7 +3438,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_stack_and_queue/summary/index.html
+++ b/chapter_stack_and_queue/summary/index.html
@ -1877,7 +1877,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/array_representation_of_tree/index.html
+++ b/chapter_tree/array_representation_of_tree/index.html
@ -2040,7 +2040,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/avl_tree/index.html
+++ b/chapter_tree/avl_tree/index.html
@ -4017,7 +4017,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/binary_search_tree/index.html
+++ b/chapter_tree/binary_search_tree/index.html
@ -3201,7 +3201,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/binary_tree/index.html
+++ b/chapter_tree/binary_tree/index.html
@ -2491,7 +2491,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/binary_tree_traversal/index.html
+++ b/chapter_tree/binary_tree_traversal/index.html
@ -2665,7 +2665,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/chapter_tree/summary/index.html
+++ b/chapter_tree/summary/index.html
@ -1883,7 +1883,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/index.html
+++ b/index.html
@ -1943,7 +1943,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/overrides/partials/comments.html
+++ b/overrides/partials/comments.html
@ -11,7 +11,7 @@
    data-strict="1"
    data-reactions-enabled="1"
    data-emit-metadata="0"
-    data-input-position="bottom"
+    data-input-position="top"
    data-theme="preferred_color_scheme"
    data-lang="zh-CN"
    crossorigin="anonymous"
--- a/search/search_index.json
+++ b/search/search_index.json
--- a/sitemap.xml
+++ b/sitemap.xml
@ -2,312 +2,312 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
    <url>
         <loc>https://www.hello-algo.com/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_appendix/contribution/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_appendix/installation/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_array_and_linkedlist/array/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_array_and_linkedlist/linked_list/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_array_and_linkedlist/list/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_array_and_linkedlist/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_backtracking/backtracking_algorithm/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_backtracking/n_queens_problem/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_backtracking/permutations_problem/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_computational_complexity/performance_evaluation/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_computational_complexity/space_complexity/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_computational_complexity/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_computational_complexity/time_complexity/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_data_structure/basic_data_types/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_data_structure/character_encoding/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_data_structure/classification_of_data_structure/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_data_structure/number_encoding/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_data_structure/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_graph/graph/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_graph/graph_operations/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_graph/graph_traversal/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_graph/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_hashing/hash_collision/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_hashing/hash_map/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_hashing/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_heap/build_heap/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_heap/heap/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_heap/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_introduction/algorithms_are_everywhere/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_introduction/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_introduction/what_is_dsa/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_preface/about_the_book/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_preface/suggestions/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_preface/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_reference/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_searching/binary_search/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_searching/binary_search_edge/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_searching/replace_linear_by_hashing/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_searching/searching_algorithm_revisited/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_searching/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/bubble_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/bucket_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/counting_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/heap_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/insertion_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/merge_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/quick_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/radix_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/selection_sort/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/sorting_algorithm/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_sorting/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_stack_and_queue/deque/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_stack_and_queue/queue/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_stack_and_queue/stack/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_stack_and_queue/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/array_representation_of_tree/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/avl_tree/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/binary_search_tree/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/binary_tree/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/binary_tree_traversal/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
    <url>
         <loc>https://www.hello-algo.com/chapter_tree/summary/</loc>
-         <lastmod>2023-05-31</lastmod>
+         <lastmod>2023-06-01</lastmod>
         <changefreq>daily</changefreq>
    </url>
 </urlset>
--- a/sitemap.xml.gz
+++ b/sitemap.xml.gz