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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
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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
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7.1 Introduction to amortized analysis 7.2 Aggregate method 7.3 Accounting method 7.4 Potential method 7.5 Dynamic tables
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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
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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
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• 计数设备:用于计数系统 • 多道分析器:用于能量分析系统、时间分析系统
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复旦大学:《税法 Tax Law》硕士毕业论文_开征环境保护税对我国重污染企业盈利能力的影响——基于 A 股上市重污染企业面板数据的实证研究
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12.1 Polynomial time algorithms 12.2 Undecidable 12.3 NP-complete 12.4 Approximation algorithms 12.5 Dealing with hard problems
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10.1 Graph representations 10.2 Breadth-first and depth-first search algorithms 10.3 Topological sort 10.4 Disjoint sets and strategy of union by rank and path compression 10.5 Minimum spanning tree 10.6 Prim's and Kruskal's algorithm 10.7 Single-source shortest-paths algorithms: breadth-first search, Dag shortest paths, Dijkstra algorithm, and Bellman-Ford algorithm 10.8 All-pairs shortest-paths algorithms: brute-force, dynamic programming, Floyd-Warshall algorithm, and Johnson algorithm 10.9 Ford-Fulkerson max-flow algorithm and Edmonds-Karp algorithm
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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
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