1. Lecture 8
CSE 331
Sep 15, 2011

2. HW 1due today I will not take any HW after 1:15pm
Q1, Q2 and Q3 in different piles
I will not take any HW after 1:15pm

3. 7 more to go…
I’ll need confirmation in writing. No graded material will be handed back till
I get this signed form from you!

4. Solutions to HW 1
Handed out at the END of the lecture

5. HW 2
Has been posted (link on the blog by 3pm)
Start early

6. At most c.Nd steps (c>0, d>0 absolute constants)
Definition-III
Should scale with input size
If N increases by a constant factor,
so should the measure
Polynomial running time
At most c.Nd steps (c>0, d>0 absolute constants)
Step: “primitive computational step”

7. Reading Assignments
Sections 1.2, 2.1, 2.2 and 2.4 in [KT]

8. The actual run times n!
100n2
Asymptotic View n2

9. Asymptotic Notation ≤ is O with glasses ≥ is Ω with glasses

10. Run time of an algorithm
(Worst-case) run time T(n) for input size n
Maximum number of steps taken by the algorithm for
any input of size n

11. g(n) is O(f(n))
c*f(n) for some c>0
g(n) n n0

12. g(n) is Ω(f(n))
g(n)
ε*f(n) for some ε>0 n n1

13. Questions?

14. Today’s agenda Definition of Θ notation
Properties of asymptotic notations
Asymptotic running time
Analyzing the running time of the GS algo

15. Gale-Shapley Algorithm
Intially all men and women are free
While there exists a free woman who can propose
Let w be such a woman and m be the best man she has not proposed to
w proposes to m
If m is free
(m,w) get engaged
Else (m,w’) are engaged
If m prefers w’ to w
w remains free
Else
(m,w) get engaged and w’ is free
Output the engaged pairs as the final output

16. Implementation Steps How to represent the input?
How do we find a free woman w?
How would w pick her best unproposed man m?
How do we know who m is engaged to?
How do we decide if m prefers w’ to w?

17. Arrays and Linked Lists
Front
Last
n numbers a1,a2,…,an a1 a2 a3 an 1 2 3 n
Array
Linked List
Access ith element
O(1)
O(i)
Is e present?
O(n)
(O(log n) if sorted)
O(n)
Insert an element
O(n)
O(1) given pointer
Delete an element
O(n)
O(1) given pointer
Static vs Dynamic
Static
Dynamic

18. Today’s agenda O(n2) implementation of the Gale-Shapley algorithm
More practice with run time analysis

19. Gale-Shapley Algorithm
At most n2 iterations
Intially all men and women are free
While there exists a free woman who can propose
Let w be such a woman and m be the best man she has not proposed to
w proposes to m
O(1) time implementation
If m is free
(m,w) get engaged
Else (m,w’) are engaged
If m prefers w’ to w
w remains free
Else
(m,w) get engaged and w’ is free
Output the engaged pairs as the final output