SLIDE 1
❨♦✉♥❣ ❘❡s❡❛r❝❤❡rs ❈❊❘▼■❈❙ ❙❡♠✐♥❛r
❙♦❧✈✐♥❣ t❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ♦♥ tr❡❡s
❆❞è❧❡ P❛ss✲▲❛♥♥❡❛✉
❖❝t♦❜❡r ✶✵✱ ✷✵✶✼ ■♥t❡r♥s❤✐♣ ❉✐r❡❝t♦r✿ ❋ré❞ér✐❝ ▼❡✉♥✐❡r
SLIDE 2 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r t = ✵
✶✴✷✹
SLIDE 3 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r t = ✶ ♣r♦t❡❝t✐♦♥
✶✴✷✹
SLIDE 4 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r t = ✶ ♣r♦♣❛❣❛t✐♦♥
✶✴✷✹
SLIDE 5 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r t = ✷ ♣r♦t❡❝t✐♦♥
✶✴✷✹
SLIDE 6 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r t = ✷ ♣r♦♣❛❣❛t✐♦♥
✶✴✷✹
SLIDE 7 ■♥tr♦❞✉❝t✐♦♥ t♦ ❋✐r❡✜❣❤t✐♥❣
❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✭❍❛rt♥❡❧❧✱ ✶✾✾✺✮✿ ♠♦❞❡❧s ♣r♦♣❛❣❛t✐♦♥ ♦❢ ❛ ✜r❡ ✐♥ ❛ ♥❡t✇♦r❦ ✭♦r ❞✐s❡❛s❡ ✐♥ ❛ ♣♦♣✉❧❛t✐♦♥✱ ✈✐r✉s ✐♥ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✮
- ❆ ❣r❛♣❤✱ ❢♦r ✉s✿ ❛ tr❡❡ T ✇✐t❤ r♦♦t r
- ❆ ✜r❡ st❛rts ❛t r
- ❆t ❡❛❝❤ t✐♠❡ st❡♣
✕ ✶ ♥❡✇ ✈❡rt❡① ❝❛♥ ❜❡ ♣r♦t❡❝t❡❞ ✕ ❚❤❡ ✜r❡ s♣r❡❛❞s
- ❖❜❥❡❝t✐✈❡✿ ♠❛①✐♠✐③❡ t❤❡ ♥✉♠❜❡r ♦❢
s❛✈❡❞ ✈❡rt✐❝❡s r − → ✻ ✈❡rt✐❝❡s s❛✈❡❞
✶✴✷✹
SLIDE 8 ❆♥ ■♥t❡❣❡r Pr♦❣r❛♠♠✐♥❣ ❢♦r♠✉❧❛t✐♦♥
- ▲❡✈❡❧✿ s❡t ♦❢ ✈❡rt✐❝❡s ✇✐t❤ s❛♠❡ ❞✐st❛♥❝❡ t♦ t❤❡ r♦♦t
- ❲❡✐❣❤t✿ ✐❢ v ♣r♦t❡❝t❡❞✱ wv ✈❡rt✐❝❡s s❛✈❡❞
r ✜rst ❧❡✈❡❧ s❡❝♦♥❞ ❧❡✈❡❧ t❤✐r❞ ❧❡✈❡❧
✭✺✮ ✭✶✮ ✭✸✮ ✭✶✮
✷✴✷✹
SLIDE 9 ❆♥ ■♥t❡❣❡r Pr♦❣r❛♠♠✐♥❣ ❢♦r♠✉❧❛t✐♦♥
❉❡❝✐s✐♦♥ ✈❛r✐❛❜❧❡s✿ xv = ✶ ✐✛ v ✐s ♣r♦t❡❝t❡❞ max
xvwv s✳ t✳ xu + xv ≤ ✶ ∀ u, v ♦♥ s❛♠❡ ❧❡✈❡❧ ✭✶✮ xu + xv ≤ ✶ ∀ u ❛♥❝❡st♦r ♦❢ v ✭✷✮ xv ∈ {✵, ✶} ✭✶✮✿ ✶ ✈❡rt❡① ♣r♦t❡❝t❡❞ ♣❡r ❧❡✈❡❧ ✭✷✮✿ ❛ ✈❡rt❡① ❛❧r❡❛❞② s❛✈❡❞ ♠✉st ♥♦t ❜❡ ♣r♦t❡❝t❡❞
✷✴✷✹
SLIDE 10 ❙♦❧✈✐♥❣ t❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠
- ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✐s ◆P✲❤❛r❞ ♦♥ tr❡❡s ✭❋✐♥❜♦✇ ❡t ❛❧✳✱ ✷✵✵✾✮
- ❲❡ ❛r❡ ✐♥t❡r❡st❡❞ ✐♥ ♠❡t❤♦❞s ❢♦r s♦❧✈✐♥❣ ✐t
❉✐✛❡r❡♥t ❛♣♣r♦❛❝❤❡s✿
- P♦❧②♥♦♠✐❛❧ ❛❧❣♦r✐t❤♠s ✐♥ s♣❡❝✐❛❧ ❝❛s❡s
- ▼❡t❤♦❞s ❜❛s❡❞ ♦♥ ✐♥t❡❣❡r ♣r♦❣r❛♠♠✐♥❣
- ▲❛❣r❛♥❣✐❛♥ r❡❧❛①❛t✐♦♥
✸✴✷✹
SLIDE 11
❖✉t❧✐♥❡
✶✳ ❋✐r❡✜❣❤t✐♥❣ ❛♥❞ ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠s ✷✳ P❡r❢❡❝t ❣r❛♣❤s✿ ❛ ♣♦❧②♥♦♠✐❛❧ ❝❛s❡ ❢♦r t❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✸✳ ❋❛❝❡ts ♦❢ ♣♦❧②❤❡❞r❛✿ ❞❡s❝r✐♣t✐♦♥ ♦❢ t❤❡ ❋✐r❡✜❣❤t❡r ♣♦❧②t♦♣❡ ✹✳ ◆✉♠❡r✐❝❛❧ r❡s♦❧✉t✐♦♥ t❤r♦✉❣❤ ▲❛❣r❛♥❣✐❛♥ r❡❧❛①❛t✐♦♥
✹✴✷✹
SLIDE 12
❋✐r❡✜❣❤t✐♥❣ ❛♥❞ ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠s
SLIDE 13 ❙t❛❜❧❡ ❙❡ts
❙t❛❜❧❡ s❡t
- ✐✈❡♥ ❛ ❣r❛♣❤ G = (V , E)✱ ❛ s✉❜s❡t ♦❢ ✈❡rt✐❝❡s S ⊂ V ✐s st❛❜❧❡ ✐❢
∀u, v ∈ S✱ u ❛♥❞ v ❛r❡ ♥♦t ❛❞❥❛❝❡♥t✱ ✐✳❡✳✱ (u, v) / ∈ E✳
- ❈❧❛ss✐❝❛❧ ♣r♦❜❧❡♠s✿ st❛❜❧❡ s❡t ♦❢ ♠❛①✐♠✉♠ s✐③❡✱ ♦❢
♠❛①✐♠✉♠ ✇❡✐❣❤t
v∈S wv
- ▼❛① ❙t❛❜❧❡ ❙❡t ✐s ◆P✲❝♦♠♣❧❡t❡❀ ❡✈❡♥ ❤❛r❞ ✐♥ ♣r❛❝t✐❝❡ ✇✐t❤
❛ t❤♦✉s❛♥❞ ✈❡rt✐❝❡s✳
✺✴✷✹
SLIDE 14 ❆♣♣❧✐❝❛t✐♦♥s ♦❢ ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠s
- ❚❛s❦ s❝❤❡❞✉❧✐♥❣✿ ❣✐✈❡♥ ❛ s❡t ♦❢ ❥♦❜s ✇✐t❤ ❜❡❣✐♥✴❡♥❞ ❞❛t❡✱
✜♥❞ t❤❡ ♠❛① ♥✉♠❜❡r ♦❢ t❛s❦s t❤❛t ❝❛♥ ❜❡ s❝❤❡❞✉❧❡❞ ♦♥ ❛ s✐♥❣❧❡ ♠❛❝❤✐♥❡✳
✻✴✷✹
SLIDE 15 ❆♣♣❧✐❝❛t✐♦♥s ♦❢ ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠s
- P✐❧♦t✲❈♦♣✐❧♦t ❛❧❧♦❝❛t✐♦♥✿ ❣✐✈❡♥ ❛ s❡t ♦❢ ♣❡rs♦♥s s♣❡❛❦✐♥❣
❞✐✛❡r❡♥t ❧❛♥❣✉❛❣❡s✱ ✜♥❞ ♠❛①✐♠✉♠ ♥✉♠❜❡r ♦❢ ♣❛✐rs s♣❡❛❦✐♥❣ t❤❡ s❛♠❡ ❧❛♥❣✉❛❣❡✳
✻✴✷✹
SLIDE 16 ❋✐r❡✜❣❤t❡r ❛♥❞ ❙t❛❜❧❡ ❙❡t
■P ❢♦r st❛❜❧❡ s❡t ■P ❢♦r ❋✐r❡✜❣❤t❡r max
xvwv max
xvwv s✳ t✳ xu + xv ≤ ✶ ∀ (u, v) ∈ E s✳ t✳ xu + xv ≤ ✶ ∀ u, v ♦♥ s❛♠❡ ❧❡✈❡❧ xu + xv ≤ ✶ ∀ u ❛♥❝❡st♦r ♦❢ v xv ∈ {✵, ✶} xv ∈ {✵, ✶}
❖❜s❡r✈❛t✐♦♥ ❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✐s ❛ ▼❛① ❲❡✐❣❤t ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠ ✐♥ ❛♥ ❛♣♣r♦♣r✐❛t❡ ❣r❛♣❤✱ ❝❛❧❧❡❞ ❋✐r❡✜❣❤t❡r ❣r❛♣❤✱ ✇✐t❤ ✇❡✐❣❤ts ✳
✼✴✷✹
SLIDE 17 ❋✐r❡✜❣❤t❡r ❛♥❞ ❙t❛❜❧❡ ❙❡t
■P ❢♦r st❛❜❧❡ s❡t ■P ❢♦r ❋✐r❡✜❣❤t❡r max
xvwv max
xvwv s✳ t✳ xu + xv ≤ ✶ ∀ (u, v) ∈ E s✳ t✳ xu + xv ≤ ✶ ∀ u, v ♦♥ s❛♠❡ ❧❡✈❡❧ xu + xv ≤ ✶ ∀ u ❛♥❝❡st♦r ♦❢ v xv ∈ {✵, ✶} xv ∈ {✵, ✶}
❖❜s❡r✈❛t✐♦♥ ❚❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠ ✐s ❛ ▼❛① ❲❡✐❣❤t ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠ ✐♥ ❛♥ ❛♣♣r♦♣r✐❛t❡ ❣r❛♣❤✱ ❝❛❧❧❡❞ ❋✐r❡✜❣❤t❡r ❣r❛♣❤✱ ✇✐t❤ ✇❡✐❣❤ts w✳
✼✴✷✹
SLIDE 18
P❡r❢❡❝t ✭❋✐r❡✜❣❤t❡r✮ ❣r❛♣❤s
SLIDE 19 ■♥tr♦❞✉❝t✐♦♥ t♦ ♣❡r❢❡❝t ❣r❛♣❤s
G = (V , E) ✐s ❛ ❣r❛♣❤✳
- ■♥❞✉❝❡❞ s✉❜❣r❛♣❤ G[X] ♦❢ G✿ t❛❦❡ ❛ s✉❜s❡t ♦❢ ✈❡rt✐❝❡s X
❛♥❞ ❛❧❧ ❡❞❣❡s ♦❢ G ❜❡t✇❡❡♥ t❤❡♠✳
- ❈❧✐q✉❡✲♥✉♠❜❡r ω(G)✿ s✐③❡ ♦❢ t❤❡ ❜✐❣❣❡st ❝❧✐q✉❡ ✐♥ G✱ ✐✳❡✳✱
✐♥❞✉❝❡❞ s✉❜❣r❛♣❤ ✇❤❡r❡ ❛❧❧ ❡❞❣❡s ❡①✐st✳
- ❈❤r♦♠❛t✐❝ ♥✉♠❜❡r χ(G)✿ ♠✐♥✐♠✉♠ ♥✉♠❜❡r ♦❢ ❝♦❧♦rs ♥❡❡❞❡❞
✐♥ ❛ ✈❛❧✐❞ ❝♦❧♦r✐♥❣ ♦❢ G✳ ■♥ ❛ ✈❛❧✐❞ ❝♦❧♦r✐♥❣✱ ❡✈❡r② ✈❡rt❡① ❤❛s ♦♥❡ ❝♦❧♦r ❛♥❞ ❡✈❡r② ❝♦❧♦r ❢♦r♠ ❛ st❛❜❧❡ s❡t✳
ω(G) = ✸ ❱❛❧✐❞ ❝♦❧♦r✐♥❣ ✇✐t❤ ✸ ❝♦❧♦rs✿ χ(G) ≤ ✸ ❆❧✇❛②s ω(G) ≤ χ(G) ❍❡♥❝❡ χ(G) = ✸
✽✴✷✹
SLIDE 20 P❡r❢❡❝t ❣r❛♣❤s
❉❡✜♥✐t✐♦♥ ✭❈❧❛✉❞❡ ❇❡r❣❡✱ ✶✾✻✵✮ ❆ ❣r❛♣❤ G ✐s ♣❡r❢❡❝t ✐❢ ❢♦r ❡✈❡r② ✐♥❞✉❝❡❞ s✉❜❣r❛♣❤ H ♦❢ G✱ t❤❡ ❡q✉❛❧✐t② χ(H) = ω(H) ❤♦❧❞s✳ ❆r❡ t❤❡② ♣❡r❢❡❝t❄
- ❆ ❝❧✐q✉❡❄
- ❆ ❝②❝❧❡ ♦❢ ❧❡♥❣t❤ ✺❄
✾✴✷✹
SLIDE 21 ❚❤❡ ❙tr♦♥❣ P❡r❢❡❝t ●r❛♣❤ ❚❤❡♦r❡♠
❙P●❚ ❆ ❣r❛♣❤ ✐s ♣❡r❢❡❝t ✐❢ ❛♥❞ ♦♥❧② ✐❢ ✐t ❝♦♥t❛✐♥s ♥♦ ✐♥❞✉❝❡❞ ♦❞❞ ❤♦❧❡ ♥♦r ♦❞❞ ❛♥t✐❤♦❧❡✳
- ❈♦♥❥❡❝t✉r❡❞ ❜② ❇❡r❣❡ ✐♥ ✻✵s✱ r❡♠❛✐♥❡❞ ♦♣❡♥ ❢♦r ✹✵ ②❡❛rs
- Pr♦✈❡♥ ❜② ❈❤✉❞♥♦✈s❦②✱ ❘♦❜❡rts♦♥✱ ❙❡②♠♦✉r ❛♥❞ ❚❤♦♠❛s ✐♥
✷✵✵✷✲✷✵✵✻ ❍♦❧❡ ♦❢ ❧❡♥❣t❤ ✼ ❆♥t✐❤♦❧❡ ♦❢ ❧❡♥❣t❤ ✼
✶✵✴✷✹
SLIDE 22 P♦❧②❤❡❞r❛❧ ❝❤❛r❛❝t❡r✐③❛t✐♦♥ ♦❢ ♣❡r❢❡❝t ❣r❛♣❤s
❆♥♦t❤❡r ❝❤❛r❛❝t❡r✐③❛t✐♦♥ ♦❢ ♣❡r❢❡❝t ❣r❛♣❤s ✐s ♦♥ t❤❡✐r ❙t❛❜❧❡ ❙❡t ♣♦❧②t♦♣❡ ✭✐♥ ♥❡①t s❡❝t✐♦♥✮✳ ❬●röts❝❤❡❧✱ ▲♦✈ás③✱ ❙❝❤r✐❥✈❡r✱ ✶✾✽✽❪ ❚❤❡ ▼❛① ❲❡✐❣❤t ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠ ❝❛♥ ❜❡ s♦❧✈❡❞ ✐♥ ♣♦❧②♥♦♠✐❛❧ t✐♠❡ ✐♥ ♣❡r❢❡❝t ❣r❛♣❤s✳
⇒ ▼❛① ❲❡✐❣❤t ❙t❛❜❧❡ ❙❡t ✐♥ ❋✐r❡✜❣❤t❡r ❣r❛♣❤s
- P❡r❢❡❝t ❋✐r❡✜❣❤t❡r ❣r❛♣❤s ❛r❡ ❛ ♣♦❧②♥♦♠✐❛❧ ❝❛s❡
- ❇✉t ♣♦❧②♥♦♠✐❛❧✐t② ✐s ♣r♦✈✐❞❡❞ ❜② ❜✐❣ t❤❡♦r❡t✐❝❛❧ r❡s✉❧t✿
♥♦ s♣❡❝✐❛❧✐③❡❞ ❛❧❣♦r✐t❤♠
- ❖✉r ♠❛✐♥ r❡s✉❧t✿ ❛ ❝♦♠❜✐♥❛t♦r✐❛❧ ♣♦❧②♥♦♠✐❛❧ ❛❧❣♦r✐t❤♠ ✐♥
t❤✐s ❝❛s❡✳
✶✶✴✷✹
SLIDE 23
❚❤❡ ❙t❛❜❧❡ ❙❡t ♣♦❧②t♦♣❡ ♦❢ ❋✐r❡✜❣❤t❡r ❣r❛♣❤s
SLIDE 24 ▲✐♥❡❛r Pr♦❣r❛♠♠✐♥❣ ✈s✳ ■♥t❡❣❡r Pr♦❣r❛♠♠✐♥❣
❈♦♥t✐♥♦✉s r❡❧❛①❛t✐♦♥ ♦❢ t❤❡ ■P✿ ❧✐♥❡❛r ♣r♦❣r❛♠ ♦❜t❛✐♥❡❞ ❜② ❞r♦♣♣✐♥❣ ✐♥t❡❣r❛❧✐t② ❝♦♥str❛✐♥ts✳ max
xvwv s✳ t✳ xu + xv ≤ ✶ ∀ (u, v) ∈ EG xv ∈ {✵, ✶}
- ▲✐♥❡❛r Pr♦❣r❛♠♠✐♥❣ ✐s ❡❛s②✿
s✐♠♣❧❡①✱ ✐♥t❡❣❡r ♣♦✐♥ts ♠❡t❤♦❞s❀ ♣♦❧②♥♦♠✐❛❧✐t②✳
- ■♥t❡❣❡r Pr♦❣r❛♠♠✐♥❣ ✐s ❤❛r❞✿
❡①✳ ◆P✲❤❛r❞ ❢♦r ❙t❛❜❧❡ ❙❡t ♣r♦❜❧❡♠✳
✶✷✴✷✹
SLIDE 25 ❙tr❡♥❣t❤❡♥✐♥❣ ❛ ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥
- ❖❜❥❡❝t✐✈❡ ❢♦r s♦❧✈✐♥❣ ■Ps✿ ❣❡t ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥ ❛s ❝❧♦s❡
❛s ♣♦ss✐❜❧❡ t♦ ❝♦♥✈❡① ❤✉❧❧ ♦❢ ✐♥t❡❣❡r ♣♦✐♥ts
- ❆❞❞✐♥❣ ❝✉ts ❣✐✈❡♥ ❜② ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s
- ❚❤❡ ✧str♦♥❣❡st✧ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❛r❡ ❢❛❝❡ts
✶✸✴✷✹
SLIDE 26 ❙tr❡♥❣t❤❡♥✐♥❣ ❛ ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥
- ❖❜❥❡❝t✐✈❡ ❢♦r s♦❧✈✐♥❣ ■Ps✿ ❣❡t ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥ ❛s ❝❧♦s❡
❛s ♣♦ss✐❜❧❡ t♦ ❝♦♥✈❡① ❤✉❧❧ ♦❢ ✐♥t❡❣❡r ♣♦✐♥ts
- ❆❞❞✐♥❣ ❝✉ts ❣✐✈❡♥ ❜② ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s
- ❚❤❡ ✧str♦♥❣❡st✧ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❛r❡ ❢❛❝❡ts
✶✸✴✷✹
SLIDE 27 ❙tr❡♥❣t❤❡♥✐♥❣ ❛ ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥
- ❖❜❥❡❝t✐✈❡ ❢♦r s♦❧✈✐♥❣ ■Ps✿ ❣❡t ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥ ❛s ❝❧♦s❡
❛s ♣♦ss✐❜❧❡ t♦ ❝♦♥✈❡① ❤✉❧❧ ♦❢ ✐♥t❡❣❡r ♣♦✐♥ts
- ❆❞❞✐♥❣ ❝✉ts ❣✐✈❡♥ ❜② ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s
- ❚❤❡ ✧str♦♥❣❡st✧ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❛r❡ ❢❛❝❡ts
✶✸✴✷✹
SLIDE 28 ❉❡s❝r✐❜✐♥❣ t❤❡ ❙t❛❜❧❡ ❙❡t ♣♦❧②t♦♣❡
STAB(G) = conv{x ∈ {✵, ✶}|V | | xu + xv ≤ ✶ ∀(u, v) ∈ E}
- P♦❧②t♦♣❡ ♦❢ ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥
P = {x ∈ R|V |
+
| xu + xv ≤ ✶ ∀(u, v) ∈ E} ■♥ ♠♦st ❝❛s❡s✱ STAB(G) P
- ❋✐♥❞✐♥❣ ❢❛❝❡ts ♦❢ t❤❡ ❙t❛❜❧❡ ❙❡t ♣♦❧②t♦♣❡ ✐s ❛ ♠❛❥♦r
♣r♦❜❧❡♠ ✐♥ ❝♦♠❜✐♥❛t♦r✐❛❧ ♦♣t✐♠✐③❛t✐♦♥
- ❯s❡❢✉❧ ✐♥ ♣r❛❝t✐❝❡ t♦ ❞❡s✐❣♥ ❡✣❝✐❡♥t ❛❧❣♦r✐t❤♠s
- ❘❡s✉❧ts ✐♥ ❣r❛♣❤ ❝❧❛ss❡s✱ ❡✳❣✳✱ ❧✐♥❡✲❣r❛♣❤s ✭❊❞♠♦♥❞s✮✱ ❝❧❛✇✲❢r❡❡
❣r❛♣❤s✱ ❡t❝✳
✶✹✴✷✹
SLIDE 29 ❱❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❢♦r ❙t❛❜❧❡ ❙❡t
▼❛♥② ❦♥♦✇♥ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❝❛♥ ❜❡ ❛❞❞❡❞✱ s✉❝❤ ❛s✿ ❖❞❞ ❝②❝❧❡ ✐♥❡q✉❛❧✐t②✿ ❖❞❞ ✇❤❡❡❧ ✐♥❡q✉❛❧✐t②✿
xv ≤ ✷
xv + ✷
❤✉❜
≤ ✷
✶✺✴✷✹
SLIDE 30 ❱❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❢♦r ❙t❛❜❧❡ ❙❡t
▼❛♥② ❦♥♦✇♥ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❝❛♥ ❜❡ ❛❞❞❡❞✱ s✉❝❤ ❛s✿ ❖❞❞ ❝②❝❧❡ ✐♥❡q✉❛❧✐t②✿ ❖❞❞ ✇❤❡❡❧ ✐♥❡q✉❛❧✐t②✿
xv ≤ ✷
xv + ✷
❤✉❜
≤ ✷
✶✺✴✷✹
SLIDE 31 ❱❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❢♦r ❙t❛❜❧❡ ❙❡t
▼❛♥② ❦♥♦✇♥ ✈❛❧✐❞ ✐♥❡q✉❛❧✐t✐❡s ❝❛♥ ❜❡ ❛❞❞❡❞✱ s✉❝❤ ❛s✿ ❖❞❞ ❝②❝❧❡ ✐♥❡q✉❛❧✐t②✿ ❖❞❞ ✇❤❡❡❧ ✐♥❡q✉❛❧✐t②✿
xv ≤ ✷
xv + ✷x ❤✉❜ ≤ ✷
✶✺✴✷✹
SLIDE 32 ❋❛❝❡ts ♦❢ t❤❡ ❋✐r❡✜❣❤t❡r ♣♦❧②t♦♣❡
❲❡ st✉❞✐❡❞ t❤❡ ❋✐r❡✜❣❤t❡r ♣♦❧②t♦♣❡✱ ✐✳❡✳✱ STAB(G) ✇❤❡r❡ G ✐s ❛ ❋✐r❡✜❣❤t❡r ❣r❛♣❤✳ ❖✉r ♠❛✐♥ r❡s✉❧ts✿
- ◆❡✇ ❢❛❝❡ts ✇✐t❤ ✧❤❛♥❞♠❛❞❡✧ ♣r♦♦❢s
- ●❡♥❡r✐❝ ♠❡t❤♦❞s t♦ ❝♦♠♣✉t❡ ❢❛❝❡ts
- ❋✉rt❤❡r r❡s✉❧ts ♦♥ ❝❤❛r❛❝t❡r✐③✐♥❣ ❛❧❧ ❢❛❝❡ts ♦❢ STAB(G)
✶✻✴✷✹
SLIDE 33
❆ ▲❛❣r❛♥❣✐❛♥✲❜❛s❡❞ ❡①❛❝t ♠❡t❤♦❞
SLIDE 34 ❲❤② ▲❛❣r❛♥❣✐❛♥ r❡❧❛①❛t✐♦♥❄
- ■P ❢♦r♠✉❧❛t✐♦♥ ✐s t♦♦ ❧❛r❣❡✿ q✉❛❞r❛t✐❝ ♥✉♠❜❡r ♦❢ ❝♦♥str❛✐♥ts
❡✈❡♥ ❝♦♥t✐♥✉♦✉s r❡❧❛①❛t✐♦♥ ✐s ✉♥♣r❛❝t✐❝❛❜❧❡
- ❲❡ ❛r❡ ✐♥t❡r❡st❡❞ ✐♥ ❧❛r❣❡ ✐♥st❛♥❝❡s
✭❡♣✐❞❡♠✐♦❧♦❣②✱ ❝♦♠♣✉t❡r ♥❡t✇♦r❦✱ ❡t❝✳✮
- ❆♣♣r♦①✐♠❛t❡❞ s♦❧✉t✐♦♥s ✭✇✐t❤ ❣✉❛r❛♥t❡❡✮ ✐♥ ♠✐♥✉t❡s
❝❛♥ ❜❡ ❜❡tt❡r t❤❛♥ ♦♣t✐♠✉♠ ✐♥ ❤♦✉rs
✶✼✴✷✹
SLIDE 35 ❇❛❝❦ t♦ t❤❡ ❝❛♥♦♥✐❝❛❧ ■P
❘❡♠❡♠❜❡r t❤❡ ❝❛♥♦♥✐❝❛❧ ■P✿ max
xvwv s✳ t✳ x(L) ≤ ✶ ∀ ❧❡✈❡❧ L xu + xv ≤ ✶ ∀u ❛♥❝❡st♦r ♦❢ v xv ∈ {✵, ✶}
- ❲✐t❤♦✉t ❧❡✈❡❧ ❝♦♥str❛✐♥ts✱ t❤❡ ♣r♦❜❧❡♠ ✐s ❡❛s②✦
- ❙♦❧✈❛❜❧❡ t❤r♦✉❣❤ ❉②♥❛♠✐❝ Pr♦❣r❛♠♠✐♥❣✳
✶✽✴✷✹
SLIDE 36 ❘❡❝❛♣ ♦♥ ▲❛❣r❛♥❣✐❛♥ r❡❧❛①❛t✐♦♥
■♥tr♦❞✉❝❡ ▲❛❣r❛♥❣❡ ♠✉❧t✐♣❧✐❡rs λ ❛ss♦❝✐❛t❡❞ ✇✐t❤ ❧❡✈❡❧ ❝♦♥str❛✐♥ts OPT = max{wTx | x ∈ X, x(L) ≤ ✶ ∀L} = max
x∈X inf λ≥✵
λL · (x(L) − ✶)
λ≥✵ max x∈X
λL · (x(L) − ✶)
- ❞✉❛❧ ❢✉♥❝t✐♦♥ G(λ)
- ❋♦r ❡✈❡r② λ✱ G(λ) ✐s ❛♥ ✉♣♣❡r ❜♦✉♥❞
- G(λ) ✐s ❡❛s② t♦ ❝♦♠♣✉t❡ ✭s♦❧✈✐♥❣ r❡❧❛①❛t✐♦♥ ✇✐t❤ ❉P✮
- ■♥✜♠✉♠ ♦❢ G ✐s ❝♦♠♣✉t❡❞ ❜② ❣r❛❞✐❡♥t ❞❡s❝❡♥t ❛❧❣♦r✐t❤♠
- ✳✳✳ ❜✉t ❜❛❞ ❜♦✉♥❞ ✐❢ ❛❧❧ ❧❡✈❡❧s ❞✉❛❧✐③❡❞
✶✾✴✷✹
SLIDE 37 ❆♥ ❡①❛♠♣❧❡ ♦❢ str♦♥❣❡r r❡❧❛①❛t✐♦♥ ✶✴✷
❘❡❧❛①❛t✐♦♥ (R✶)✿ r❡♠♦✈❡ ❧❡✈❡❧ ❝♦♥str❛✐♥ts✱ ❛❞❞ s✉❜❧❡✈❡❧ ❝♦♥str❛✐♥ts✿ ∀v,
xu ≤ ✶ s✉❜❧❡✈❡❧s
✷✵✴✷✹
SLIDE 38 ❆♥ ❡①❛♠♣❧❡ ♦❢ str♦♥❣❡r r❡❧❛①❛t✐♦♥ ✶✴✷
❘❡❧❛①❛t✐♦♥ (R✶) ✐s st✐❧❧ ❡❛s② t♦ s♦❧✈❡ ▲❡t M ❜❡ t❤❡ ♦♣t✐♠✉♠ ♦❢ (R✶) ✐♥ t❤❡ s✉❜tr❡❡ r♦♦t❡❞ ❛t v✱ ❜✉t ✇✐t❤ xv = ✵✳ ❙♦❧✈✐♥❣ ✭❘✮ t❤r♦✉❣❤ ❞②♥❛♠✐❝ ♣r♦❣r❛♠♠✐♥❣ ❚❤❡♥ OPT = M(r) ❛♥❞ ❢♦r ❡✈❡r② v✱
M(v) = max
M(z)
- ✐❢ ♥♦ ❝❤✐❧❞ ♦❢ ✈ ✐s s❡❧❡❝t❡❞
; max
u∈Ch(v)
w(u) +
z=u
M(z)
- ✐❢ t❤❡ ❝❤✐❧❞ ③ ✐s s❡❧❡❝t❡❞
✷✶✴✷✹
SLIDE 39 ❆♥ ❛❧❣♦r✐t❤♠ ❢♦r t❤❡ ❋✐r❡✜❣❤t❡r ♣r♦❜❧❡♠
- ❘❡❧❛①❛t✐♦♥ (R✶) ❝❛♥ ❜❡ ❣❡♥❡r❛❧✐③❡❞ ✐♥t♦
❛ ❢❛♠✐❧② ♦❢ r❡❧❛①❛t✐♦♥s (Rp) s✉❝❤ t❤❛t✿ ✲ ◗✉❛❧✐t② ♦❢ ❜♦✉♥❞ ✐♥❝r❡❛s❡s ✇✐t❤ p ✲ ❈♦♠♣✉t❛t✐♦♥ t✐♠❡ ✐♥❝r❡❛s❡s ✇✐t❤ p
- ❇② t✉♥✐♥❣ ♣❛r❛♠❡t❡r p✱ ✇❡ ❢♦✉♥❞ ❣♦♦❞ tr❛❞❡✲♦✛ ❜❡t✇❡❡♥
q✉❛❧✐t② ♦❢ ❜♦✉♥❞ ❛♥❞ ❝♦♠♣✉t❛t✐♦♥ t✐♠❡✳
- ❖t❤❡r ❢❡❛t✉r❡s ❛r❡ ❛❞❞❡❞✿
✲ ●r❡❡❞② ✐♥✐t✐❛❧✐③❛t✐♦♥ ❤❡✉r✐st✐❝ ✲ ❘❡♣❛✐r ❧❛❣r❛♥❣✐❛♥ ❤❡✉r✐st✐❝ ✲ Pr✉♥✐♥❣ t❡❝❤♥✐q✉❡ t♦ ❡❧✐♠✐♥❛t❡ ✉s❡❧❡ss ✈❡rt✐❝❡s
✷✷✴✷✹
SLIDE 40 ◆✉♠❡r✐❝❛❧ r❡s✉❧ts
- ▲❛❣r❛♥❣✐❛♥ ♠❡t❤♦❞ ✜♥❞s ♦♣t✐♠✉♠ ❛♥❞ ♣r♦✈❡s ♦♣t✐♠❛❧✐t②
✭▲❇ ❂ ❯❇✮
- ■t ♦✉t♣❡r❢♦r♠s ❧✐♥❡❛r ♣r♦❣r❛♠♠✐♥❣
- ❍❡✉r✐st✐❝s ❛r❡ ❣♦♦❞❀ t❤❡ ❞✐✣❝✉❧t ♣❛rt ✐s t♦ ❝❡rt✐❢② ♦♣t✐♠❛❧✐t②✿
❧❛❣r❛♥❣✐❛♥ r❡❧❛①❛t✐♦♥ ✐s ❛♣♣r♦♣r✐❛t❡
■♥st❛♥❝❡
❈♣❧❡① ▲❛❣r❛♥❣✐❛♥ ♠❡t❤♦❞ ♥ ✐❞ s♦❧✉t✐♦♥ s♦❧✉t✐♦♥ t✐♠❡ s♦❧✉t✐♦♥ t✐♠❡ ✶✵✵ ✶ ✼✾ ✽✶✯ ❁✶s ✽✶✯ ❁✶s ✶✵✵✵ ✶ ✽✷✽ ✽✸✼✯ ✺✶s ✽✸✼✯ ✸s ✺✵✵✵ ✶ ✹✶✸✻ ✹✷✷✽✯ ✷✼♠ ✵✹s ✹✷✷✽✯ ✷✺s ✶✵✵✵✵ ✶ ✽✸✵✾ ✽✹✾✺✯ ✹❤ ✷✻♠ ✶✶s ✽✹✾✺✯ ✶♠ ✵✼s
✷✸✴✷✹
SLIDE 41
❚❤❛♥❦ ②♦✉ ❢♦r ②♦✉r ❛tt❡♥t✐♦♥✦
✷✹✴✷✹