diff --git a/chapter_preface/suggestions/index.html b/chapter_preface/suggestions/index.html index c18fa19ad..37df68903 100644 --- a/chapter_preface/suggestions/index.html +++ b/chapter_preface/suggestions/index.html @@ -3660,7 +3660,7 @@

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。

  1. 算法入门。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。
  2. -
  3. 刷算法题。建议从热门题目开刷,如剑指 OfferLeetCode Hot 100,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。
  4. +
  5. 刷算法题。建议从热门题目开刷,如剑指 OfferLeetCode Hot 100,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。
  6. 搭建知识体系。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。

如图 0-7 所示,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。

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