CS 583 Fall 2009
Analysis of Algorithms (Graduate Course)
08/30/09: Lecture notes will be posted on this website after each class.
In this course, a thorough examination of several well-known techniques that are used for the design and analysis of algorithms will be covered. Topics to be covered include theoretical measures of algorithm complexity, sorting and selection algorithms, greedy algorithms, divide and conquer techniques, dynamic programming, graph algorithms, search strategies, and an introduction to the theory of NP-completeness. Additional topics may be covered if time permits. Students are expected to have taken prior undergraduate courses in data structures, as well as calculus and discrete mathematics.
Prerequisites:
CS 310 and CS 330 Calculus (MATH 113, 114, 213) and MATH 125. Please contact with the instructor if you are not sure.
Introduction to Algorithms by T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, The McGraw-Hill Companies, 2nd Edition (2001) , or 3rd Edition (2009)
Algorithm Design by Jon Kleinberg and Eva Tardos, Pearson Education, Inc. (2006). (You can find the sample chapters on the webpage.)
Combinatorial Optimization: Algorithms and Complexity by C. H. Papadimitriou and K. Steiglitz, Englewood Cliffs, Prentice Hall, c1982, Reprinted by Dover Books, 1998
Lectures | Dates | Topics | Lecture Notes | Scopes | Notes |
1 | September 1 |
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Appendix, CLRS 2, CLRS 3 |
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2 | September 8 |
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CLRS 4 |
Assignment 1 released | |
3 | September 15 |
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CLRS 5, 11 | |
4 | September 22 |
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CLRS 6, 7 |
Assignment 2 released Assignment 1 due |
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5 | September 29 |
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CLRS 8, 9 |
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6 | October 6 |
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CLRS 12, Review |
Assignment 2 due | |
October 13 |
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Cancelled due to Columbus Day |
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7 | October 20 | Midterm exam (7:30pm - 10:00pm) | |||
8 | October 27 | CLRS 15, 16 |
Assignment 3 released |
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9 | November 3 | CLRS 17, 19 | |||
10 | November 10 |
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CLRS 22 |
Assignment 4 released Assignment 3 due |
11 | November 17 |
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CLRS 23 |
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12 | November 24 | CLRS 24, 25 |
Assignment 5 released Assignment 4 due |
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13 | December 1 |
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CLRS 26 |
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14 | December 8 |
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CLRS 34, Review |
Assignment 5 due |
15 | December 15 |
Final exam (7:30pm - 10:00pm) |
Tentative Grading:
Midterm Exam (30%)
Final Exam (30%)
Assignments (40%)
Topics Covered:
Function
growth: O, theta, omega notation
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CLRS 3
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Recurrence
relations
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CLRS 4
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Probabilistic
analysis; randomized algorithms
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CLRS 5
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Amortized
analysis
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CLRS 17
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Dynamic
programming
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CLRS 15
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Greedy algorithms
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CLRS 16.1-3
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Sorting
heapsort, quicksort, mergesort
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CLRS 2,
6, 7
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Non-comparison-based
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CLRS 8
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Selection/order
statistics
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CLRS 9
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Data structures
balanced binary search trees
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CLRS 12,
13
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Hash tables
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CLRS 11
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Heaps /
priority queues
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CLRS 6.5,
20
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Graph algorithms:
BFS/DFS
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CLRS 22
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Minimum
spanning tree
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CLRS 23
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Shortest
paths
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CLRS 24,
25
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Maximum
flow
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CLRS 26.1-3
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Time Complexity,
NP-Complete
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CLRS 34
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Disability Statement:
If you have a learning or physical difference that may affect your academic work, you will need to furnish appropriate documentation to the Disability Resource Center. If you qualify for accommodation, the DRC staff will give you a form detailing appropriate accommodations for your instructor.
In addition to providing your professors with the appropriate form, please take the initiative to discuss accommodation with them at the beginning of the semester and as needed during the term. Because of the range of learning differences, faculty members need to learn from you the most effective ways to assist you. If you have contacted the Disability Resource Center and are waiting to hear from a counselor, please tell me.