Beard Funjedeu

(1)

KO ^25.10.16

Beard _Funjedeu

^: ^stars ^,

fe

^R+A ⁱⁿ ^euu

Nettwk

(

^D= ⁽ ^YAI , ⁿ

)

^mn ^s

^,teV ^gilt

- exf ( ^s ⁾ ⁼

extltl

;

vallfl ^:=

exqk

⁾ ⁼ ^- ext ⁽^s )

hip

^dr

Flierl

^von

f

^.

Berti exyls

⁾

ettltl

^t

=

Ia

^ext ^G)

±Ez(f( ^rein

⁾ ^-

^flrain

⁾

=¥a

(a) ^w )

fat ⁽

^fun^v=u

^fat

^fuv=U

⁾

⁼ ⁰ ^. ^*

(2)

Beu.2=

^: ^Fn

_jules

^Netturk ^N=(D=a ^, ^A) ^m

) gilr

^:

1- ^De ^Menge ^der Zihnlahiouu ⁱⁿ N list ^:

{

^× ^ERA ^: ^lut ^(D) ^. ^x=Qv _,

0*4×4

^I ^des

Ophiuallosuyu

^find ^Max^s ^,teV^- ^Tlov ^, ^Problem^de^so^, ^LP^and^, ^'s^geum^de ^Los^de^uyea

^}

max

{

xlritttt@ttiktlDhw.x-ou.Q.exeulgYnVli-VilsH.aFeyyxaaEsa.H

't

Das Maxtor ^. Rotten ^it also ⁱⁿ

froutimiwlihel )

^liwean^,

Ophinivuynpwtkn

^.

m ) ^• Allgemeine ^lheonksd

/ _pallid

^effitieute

LP ^- Algorithms ^anwudban

• Dealitehtheonie ^der LP

(3)

ADEL

^: ^Es

gehl

^nil

^effitienh

^ml

speaiellu

houhiaboiisln

llgoikwa

^.

Def.LI

^: ^Fu ^ein

^Digraph

^{D= (} ^V^, ^A) ^md

Sell olefin ^.nu ⁱⁿ ^:

dasfs

)

^:-. ^An

(

^Sx

⁽

^Vis ⁾

)

dais 't

^:-. ^An

^civisixs

^'

₎

k

^-

;Q¥¥ ¥ ¥ ^m($ ⁾

^.

8h47

(4)

t.eu#.8

^: ^Si

^f ERI

^ein ^st ^- ^This

in _even Nettvevk

(

^D= ⁽ ^YAI ^, ^u

)

^md

si $eV^ml ^se ^$ _, tat $ ^.

Danger

val

(f)

⁼

f ⁽ ^Fis

^'

⁾ )

^-

florets

^' ⁾

)

^.

%

GEE ^Rent

^val ^I

^f ⁾

⁼ ^- ^ext ⁽ ^s

⁾

^.

= - I

extlvl

ref ^'

= ^-

( floats ^'ll

^-

floats .

(5)

Deft

^: ^£ ^D= ⁽ ^YAI

^Digraph

^. ^In

$ev hear Gots

^'

)

^e- ^A ⁱⁿ

Schuett ⁱⁿ ^D ^.

get ^fur ^gt

^EV

se $

, to $

, so it do ^' ( $1 _en

s-t-sehn.LI

^. Ît û ê

RI him

n ( FYI

)

^de

u.la#iddessduHgas(sn.Lenna=:keunNeAurk(D=CV,tbu)

ul gt ^El

gilt ^fn

^jeden ^st ^- ^Hess

f ERI

^und

frjedu

^st ^. ^Shutt

^¢

^st ^:

valtfl

^< ^ul

d)

Been otlgt

^as ^Len ^. ^2.8 ^wegu

florets ^'ll

^> ^o ,

flo.CN

^'

ulrmcsn )

#

(6)

Ben . 2. IT Das Problem

,

in

eiuenDgraples@libigenBgengeuihkaeiuns.t

- Schult

www./watinaleuJemihhnfindeu

^, ^list

NP ^- shut

; ^des

gilt

sign

fu

^des ^Pwbhn ^,

even Schutt ^ul

uogthst

^milk ^Bogen

a finder ^.

sah-2.LI

^:

[

^MAX ^. ^FLOW ^- ^MIN ^- ^CUTTHEOKER

_]

Des _maximal ^Uevl lies st ^- Thsse _]

in even Nehouh

( Din )

^is

_gleih

do wiwmalen ^u ^. kapentoh ^allen

st ^. Schulte ⁱⁿ ^D ^.

sah-2.tt

^: ^In ^even ^Nehtuerk ⁽ ^D= ⁽ ^YA ⁾ _,u

)

ml gaunahljeu

kapanitatu

ⁿ ^C- ^1nA

gilt

^es

fr

^alle ^s

^,teV

^even

gauadljenmaximaleu _[ _Bensen

^st ^. ^This _Sahu

^f

^e

_2.16/2.17

^Nt ^. _:

sped

(7)

sah.2.LI [

^Fleiss ^- Dehoupenhou ^- ^{Theorem ]}

1st

f ERI

^en ^s ^. ^telex ⁱⁿ ^even

Network

(

^D= ⁽ ^YAI ^, ⁿ

₎

^, ^so

_gbt

^es

line Menge P von st ^-

Uegk ^mdeie

they

^e ^oon ^knsu ⁱⁿ ^D ^, ^some

w ^: Pue ^→

Bo

^ul ^:

•

tfaet

^:

fa

⁼

ftp.e?lQ ⁾

AEQ

• val

(f)

⁼ ^E ^WCP

⁾

pep

• IP

1+14

^a-

IAI

Bets

^:

Beard Funjedeu

Beard Funjedeu

fe

(

)

,teV gilt

extltl

;

exqk

hip

Flierl

f

Berti exyls

ettltl

Ia

±Ez(f( rein

flrain

)

=¥a

fat (

fat

)

Beu.2=

jules

) gilr

{

0*4×4

Ophiuallosuyu

}

{

froutimiwlihel )

Ophinivuynpwtkn

/ pallid

ADEL

gehl

effitienh

speaiellu

llgoikwa

Def.LI

Digraph

dasfs

)

(

(

)

dais 't

civisixs

)

k

;Q¥¥ ¥ ¥ m($ )

8h47

t.eu#.8

f ERI

(

)

Danger

(f)

f ( Fis

) )

florets

)

%

GEE Rent

f )

)

extlvl

( floats 'll

floats .

Deft

Digraph

$ev hear Gots

)

get fur gt

s-t-sehn.LI

RI him

)

u.la#iddessduHgas(sn.Lenna=:keunNeAurk(D=CV,tbu)

gilt fn

f ERI

frjedu

Beard _Funjedeu

^,teV ^gilt

±Ez(f( ^rein

^flrain

⁾

fat ⁽

^fat

⁾

_jules

^}

/ _pallid

^effitienh

^Digraph

⁽

^civisixs

₎

;Q¥¥ ¥ ¥ ^m($ ⁾

^f ERI

f ⁽ ^Fis

⁾ )

GEE ^Rent

^f ⁾

⁾

( floats ^'ll

^Digraph

get ^fur ^gt

gilt ^fn

^¢

florets ^'ll

_]

_gleih

^,teV

gauadljenmaximaleu _[ _Bensen

^f

_2.16/2.17

₎

_gbt

ftp.e?lQ ⁾

⁾

[ libuy ^]