5.1 Dictionary problem 5.2 Hash functions 5.3 Collisions resolution by chaining 5.4 Open addressing 5.5 Probing strategies: linear, quadratic, and double hashing 5.6 Analysis of open addressing

9.1 Activity-selection problem 9.2 Introduction to greedy solution 9.3 Steps of the greedy strategy 9.4 Knapsack problem 9.5 Huffman code

12.1 Polynomial time algorithms 12.2 Undecidable 12.3 NP-complete 12.4 Approximation algorithms 12.5 Dealing with hard problems

11.1 String matching problem 11.2 Naive string-matching algorithm 11.3 Rabin-Karp algorithm 11.4 Finite automaton 11.5 Knuth-Morris-Pratt algorithm

8.1 Manufacturing problem 8.2 Matrix-chain multiplication 8.3 Elements of dynamic programming 8.4 Four steps of development 8.5 Longest common subsequence problem

7.1 Introduction to amortized analysis 7.2 Aggregate method 7.3 Accounting method 7.4 Potential method 7.5 Dynamic tables

3.1 Definition of data structure 3.2 Stacks 3.3 Queues 3.4 Linked lists 3.5 Trees 3.6 Postfix expression 3.7 Infix to postfix conversion

2.1 Divide-and-conquer design paradigm 2.2 Recurrence for merge sort and binary search 2.3 Powering a number 2.4 Fibonacci numbers 2.5 Recursive squaring 2.6 Matrix multiplication 2.7 Strassen's algorithm

1.1 Definition of algorithm 1.2 Insertion sort and merge sort 1.3 Running time and asymptotic analysis 1.4 Θ-notation, Ω-notation, and O-notation 1.5 Recurrences 1.6 Substitution, recursion-tree method, and master method

北京大学：《数据结构与算法》课程教学资源（教学设计）文件与外排序