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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
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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
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《电子商务 E-business》阅读文献:RFID Data Mining-Opportunities and Challenges
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《电子商务 E-business》阅读文献:People and Data Understanding Customer Behavior
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复旦大学:《药物设计学》课程教学资源(虚拟实验室课外实践)Exercises for Drug Design Courses_Practice-III-1E STRUCTURAL DATA:THE BASIS FOR MOLECULAR MODELING
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⚫ To understand objects and classes and use classes to model objects (§6.2). ⚫ To learn how to declare a class and how to create an object of a class (§6.3). ⚫ To understand the roles of constructors and use constructors to create objects (§6.3). ⚫ To use UML graphical notations to describe classes and objects (§6.3). ⚫ To distinguish between object reference variables and primitive data type variables (§6.4) ...... ⚫ To understand the difference between instance and static variables and methods (§6.10). ⚫ To determine the scope of variables in the context of a class (§6.11). ⚫ To use the keyword this as the reference to the current object that invokes the instance method (§6.12). ⚫ To store and process objects in arrays (§6.13). ⚫ To apply class abstraction to develop software (§6.14). ⚫ To declare inner classes (§6.17)
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复旦大学:《程序设计》课程教学资源(PPT课件)Chapter 2 Primitive Data Types and Operations
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(习题,原书第4版)chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(习题,原书第4版)chapter 6 Prescriptive Analytics:Optimization and Simulation
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(习题,原书第4版)chapter 6 Prescriptive Analytics:Optimization and Simulation
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