演算法設計及分析
出自中山電機所 無線行動網路實驗室
(修訂版本間差異)
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'''期中考 (2019/04/25)''' | '''期中考 (2019/04/25)''' | ||
- | Chapter 8. Minimun Cost Spanning Tree <br> | + | Chapter 8. Minimun Cost Spanning Tree <br> |
Chapter 9. Maximum Flow | Chapter 9. Maximum Flow | ||
- | + | Chapter 10. Linear Programming and Its Application to Game Theory | |
[http://wmi.ee.nsysu.edu.tw/enter/images/e/ed/LinearProgramming.pdf 註1:Chapter 10 投影片資料來源] | [http://wmi.ee.nsysu.edu.tw/enter/images/e/ed/LinearProgramming.pdf 註1:Chapter 10 投影片資料來源] | ||
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[http://www.cs.columbia.edu/coms6998-3/lpprimer.pdf 註2:Relations between a primary problem and its dual problem] | [http://www.cs.columbia.edu/coms6998-3/lpprimer.pdf 註2:Relations between a primary problem and its dual problem] | ||
- | + | Chapter 11. NP-Completeness | |
- | + | Chapter 12. Approximation Algorithms<br> | |
<br> | <br> | ||
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在2020年3月4日 (三) 01:46所做的修訂版本
研究所課程, 2019 Spring, Thu 2:10~5:00 PM, EC3009
Chapter 2. Growth of Functions
Chapter 3. Divide and Conquer
Chapter 4. Randomized Algorithms
*Derandomization of MAX-3SAT (參考資料,自我學習,上課不教,考試不考)
Chapter 5. Dynamic Programming
Chapter 6. Greedy Algorithms
Chapter 7. Graph Traversal Techniques
期中考 (2019/04/25)
Chapter 8. Minimun Cost Spanning Tree
Chapter 9. Maximum Flow
Chapter 10. Linear Programming and Its Application to Game Theory
註2:Relations between a primary problem and its dual problem
Chapter 11. NP-Completeness
Chapter 12. Approximation Algorithms