CS_learn/hello-algo
1
0
Fork 0
mirror of https://github.com/krahets/hello-algo.git synced 2026-07-16 19:11:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

deploy

Browse Source
This commit is contained in:
krahets
2023-11-09 05:13:54 +08:00
parent 9a09f9407e
commit 3f666fa676
85 changed files with 619 additions and 610 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
chapter_searching/searching_algorithm_revisited/index.html
View File

@@ -3396,7 +3396,7 @@
</div>
<h2 id="1053">10.5.3 &nbsp; 搜索方法选取<a class="headerlink" href="#1053" title="Permanent link">&para;</a></h2>
<p>给定大小为 <span class="arithmatex">\(n\)</span> 的一组数据，我们可以使用线性搜索、二分查找、树查找、哈希查找等多种方法在该数据中搜索目标元素。各个方法的工作原理如图 10-11 所示。</p>
<p><a class="glightbox" href="../searching_algorithm_revisited.assets/searching_algorithms.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="多种搜索策略" src="../searching_algorithm_revisited.assets/searching_algorithms.png" /></a></p>
<p><a class="glightbox" href="../searching_algorithm_revisited.assets/searching_algorithms.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="多种搜索策略" class="animation-figure" src="../searching_algorithm_revisited.assets/searching_algorithms.png" /></a></p>
<p align="center"> 图 10-11 &nbsp; 多种搜索策略 </p>
<p>上述几种方法的操作效率与特性如表 10-1 所示。</p>