ผลต่างระหว่างรุ่นของ "Ait-aa-2013"

จาก Theory Wiki
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* Week5: Dynamic programming II
 
* Week5: Dynamic programming II
  
* Week6: Greedy algorithms (CLRS Sections 16.1, 16.2, 16.3)
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* Week6: Greedy algorithms (CLRS Sections 16.1, 16.2, 16.3), Minimum spanning trees
  
 
* Midterm I
 
* Midterm I
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* Week8: Amortized analysis, scapegoat trees (see notes 15 from [http://www.cs.uiuc.edu/~jeffe/teaching/algorithms/])
 
* Week8: Amortized analysis, scapegoat trees (see notes 15 from [http://www.cs.uiuc.edu/~jeffe/teaching/algorithms/])
  
* Week9: Minimum Spanning Trees, Data structures for disjoint sets
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* Week9: Data structures for disjoint sets, binomial heaps
 
 
* Week10: Binomial heaps, Fibonacci heaps, TBA
 
  
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* Week10: Fibonacci heaps, van Em Bose trees
 
* Week11: TBA
 
* Week11: TBA
  

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This is a home page for CS304 Advanced Algorithms.

Homework

  • Homework 1 from CLRS: (due 12 Feb 2013)
    • Chapter 3: exercise 3.1-1, problems 3-4
    • Chapter 4: problems 4-1, 4-5
    • Chapter 5: execises 5.2-4, 5.2-5
    • Chapter 8: exercises 8.1-2, 8.3-4
  • Homework 2 from CLRS:
    • Chapter 5: problems 5-1, 5-2
    • Chapter 15: exercise 15.4-5, problems 15-1, 15-4, 15-6

Schedules

This is tentative. The actual course schedule will be updated along the way.

  • Week1: Introduction, Growth functions, Recurrences and divide-and-conquer (CLRS Chapter 2; Section 4.1)
  • Week2: Medians and order statistics, Sorting in linear time (CLRS Section (4.2), 4.3, 4.4, 4.5; Section 9.3, Section 8.1, 8.2, 8.3)
  • Week3: Probabilistic analysis (CLRS Chapter 5, Section 7.3; see Appendix C for reviews on probability theory)
  • Week4: Probabilistic analysis (cont.) / Dynamic programming I
  • Week5: Dynamic programming II
  • Week6: Greedy algorithms (CLRS Sections 16.1, 16.2, 16.3), Minimum spanning trees
  • Midterm I
  • Week7: Hash tables, B-trees
  • Week8: Amortized analysis, scapegoat trees (see notes 15 from [1])
  • Week9: Data structures for disjoint sets, binomial heaps
  • Week10: Fibonacci heaps, van Em Bose trees
  • Week11: TBA
  • Week12: Computational geometry
  • Week13: NP-completeness I
  • Week14: NP-completeness II
  • Week15: Approximation algorithms