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1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull...

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1 Today’s Material Computational Geometry Problems Closest Pair Problem Convex Hull • Jarvis’s March, Graham’s scan Farthest Point Problem
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Page 1: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

1

Today’s Material

• Computational Geometry Problems– Closest Pair Problem– Convex Hull

• Jarvis’s March, Graham’s scan

– Farthest Point Problem

Page 2: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

2

Closest pair problem• Given a set of points on the plane, find the

two points whose distance from each other is the maximum

– What’s the brute-force solution?– An efficient divide-and-conquer solution?

Page 3: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

3

Convex Hull (CH)• Convex Hull (CH) of a set Q of points is the

smallest convex polygon P, for which each point in Q is either on the boundary of P or in its interior

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Page 4: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

4

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Take the horizontal line going through p0, and gift wrap it around the remaining points by turning the wrap to the left.

• The first point touched is the next point on CH• In this example, it is p1

Page 5: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

5

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Continue gift-wrapping from p1. Next point is p3

Page 6: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

6

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Continue gift-wrapping from p3. Next point is p10

Page 7: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

7

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Continue gift-wrapping from p10. Next point is p12

Page 8: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

8

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Continue gift-wrapping from p12. Next point is p0

Page 9: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

9

Convex Hull – Jarvis’s March

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

• Continue gift-wrapping from p12. Next point is p0. We are done now.

Page 10: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

10

Jarvis’s March – Running Time• O(n*h), where h is the number of points on

the convex hull– If h is O(logn), then we get a running time of

O(nlogn)– If h is O(n), then we a quadratic running time of

O(n2)– Can we make sure that the running time is

always O(nlogn)?• Graham’s scan

Page 11: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

11

Graham’s Scan• Let p0 be the point in Q with the min y-coordinate or the leftmost such point in the case of a

tie

• Let <p1, p2, .., pm> be the remaining points in Q sorted by polar angle in counter-clockwise order around p0. If more than one point has the same angle, remove all but the one that is farthest from p0

p0

p1

p2

p3

p4

p5

p6p7p8

p9

p10

p11p12

Page 12: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

12

Graham’s Scan• Maintain a stack S of candidate points• Each point of the input set Q is pushed once

onto the stack, and the points that are not vertices of CH(Q) are eventually popped off the stack

• When the algorithm terminates, S contains exactly the vertices of CH(Q) in counter-clockwise order of their appearance on the boundary

Page 13: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

13

Graham’s Scan - Algorithm Push(p0, S);

Push(p1, S);

Push(p2, S);

for i=3 to m do while the angle formed by points NEXT_TO_TOP(S), TOP(S) and pi

makes a non-left turn do Pop(S);

endwhile Push(pi, S);

endfor

return S;

Page 14: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

14

Convex Hull – Initial State

p0

p1

p2

p3

p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p2

Page 15: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

15

Convex Hull – p1p2p3

p0

p1

p2

p3

p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p2

p1p2p3 is a right turn. Pop p2, push p3

Page 16: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

16

Convex Hull – p1p3p4

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p1p3p4 is a left turn. Push p4

Page 17: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

17

Convex Hull – p3p4p5

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p4

p3p4p5 is a right turn. Pop p4, push p5

Page 18: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

18

Convex Hull – p3p5p6

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p3p5p6 is a left turn. Push p6

Page 19: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

19

Convex Hull – p5p6p7

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p5p6p7 is a left turn. Push p7

p6

Page 20: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

20

Convex Hull – p6p7p8

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p6p7p8 is a left turn. Push p8

p6

p7

Page 21: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

21

Convex Hull – p7p8p9

p0

p1

p2

p3p4

p5

p6p7

p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p7p8p9 is a right turn. Pop p8

p6

p7

p8

Page 22: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

22

Convex Hull – p6p7p9

p0

p1

p2

p3p4

p5

p6p7

p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p6p7p9 is a right turn. Pop p7, push p9

p6

p7

Page 23: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

23

Convex Hull – p6p9p10

p0

p1

p2

p3p4

p5

p6

p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p5

p6p9p10 is a right turn. Pop p9, p6, p5 and p6, push p10

p6

p9

Page 24: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

24

Convex Hull – p3p10p11

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p10

p3p10p11 is a left turn. Push p11

Page 25: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

25

Convex Hull – p10p11p12

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p10

p10p11p12 is a right turn. Pop p11, push p12

p11

Page 26: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

26

Convex Hull – Final

p0

p1

p2

p3p4

p5

p6p7p8

p9

p10

p11p12

Stack

p0

p1

p3

p10

p12

Page 27: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

27

Graham’s Scan – Running Time• Computing and sorting the polar angles –

O(nlogn)• The remaining scan – O(n)• Total: O(nlogn)

Page 28: 1 Today’s Material Computational Geometry Problems –Closest Pair Problem –Convex Hull Jarvis’s March, Graham’s scan –Farthest Point Problem.

28

Farthest pair problem• Given a set of points on the plane, find the

two points whose distance from each other is the maximum

– It is shown than the farthest points must be on the Convex Hull of the points

– The idea is to compute the convex hull in O(nlogn), and then find the pair that is farthest, which can be done in O(n)

– So, we have a total running time of O(nlogn)


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