ALGORITHMS ANALYSIS AND DESIGN PPT
Instructor: David Luebke
Instructor: David Luebke
Description: This course will provide a rigorous introduction to the
design and analysis of algorithms. We will discuss classic problems (e.g.,
sorting, traveling salesman problem), classic algorithm design strategies
(e.g., divideandconquer, greedy approaches), and classic algorithms and data
structures (e.g., hash tables, Dijkstra's algorithm). We will also analyze
algorithm complexity throughout, and touch on issues of tractibility such as
"NPCompleteness". Texts:
Required: Introduction to Algorithms (Second Edition) by Cormen,
Leiserson, Rivest, and Stein, McGrawHill (2001).
This book is similar to the first
edition, so you could probably get by with only the first edition.
However, all homework problems assigned from the book will be referenced from
the second edition; it is your responsibility to find a way to look them
up. I strongly recommend that you buy the text rather than borrow it;
this is one of only two text books that I still use on a regular basis.
It is an indispensable reference.
Lectures: A tentative schedule of lecture topics is given below. The
"CULTURE" topics represent interesting but nonessential material
from fields such as computational geometry and computer graphics; they add some
variety to the schedule but also give us some slack if we get behind
schedule. If we cover a "culture" topic in class, you will be
tested on it.
Number

Topic

Source

Text

1




2

3.13.2


3

4.1


4

4.3, 6.16.2


5

6, 7.17.3


6

7.4


7

5.15.3


8

5.4 last section


9

8.18.2


10

8.38.4
9.19.2 

11

9.3


12


13

12.112.3


14

13.113.2


15

13.313.4


16




17

11.111.2


18

11.311.4


19

11.311.4


20

14.114.2


21

14.3


22

22.122.3


23

22.3


24

23.1


25

23.2


26

24.124.3


27


28

21.121.3, 23.2


29

17.117.2


30

17.317.4


31

15.1, 15.3


32

15.4


33


34

16.116.2


35

34.134.2


36

34.134.2


37

34.34


38

34.34


39



it is best as it can be
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