Title | Probeklausur-loesung 2013 Jünger |
---|---|
Course | Informatik I |
Institution | Universität zu Köln |
Pages | 12 |
File Size | 1.1 MB |
File Type | |
Total Downloads | 110 |
Total Views | 954 |
Pr♦❢✳❉✐♣❧✳✲■♥❢✳❉r✳▼✳❉❛♥✐❡❧❏ü♥❣❡r❙❝❤♠✐❞t ❙♦♠♠❡rs❡♠❡st❡r✷✵✶✸Pr♦❜ ❡❦❧❛✉s✉r■♥❢♦r♠❛t✐❦③✉r ❱♦r❧❡s✉♥❣■❉❡❝❦❜❧❛tt✶✺✳✵✼✳✷✵✶✸ ❇✐tt❡◆❛♠❡♥♦t✐❡r❡♥❙✐❡❞✐❡❢♦❧❣❡♥❞❡♥❆♥❣❛❜ ❡♥✐♥❞❡✉t❧✐❝❤❡r❇❧♦ ❝❦s❝❤r✐❢t✿ ❱♦r♥❛♠❡▼❛tr✐❦❡❧♥✉♠♠❡r Prü❢✉♥❣s♥✉♠♠❡r❙t✉❞✐❡♥❣❛♥❣ ❊♠❛✐❧ •t❡♥✱❉✐❡●❡❜ ❡♥❑❧❛✉s✉r♠❡❧❞❡♥❙✐❡❞✐❡s❡s❙✐❡❜ ❡st❡❤ts✐❝❤❇❧❛tt❜✐tt❡❛✉s...
•
• • • • • • • •
Σ
Σ
O Ω
12n
=
O (n2 )
7n2
=
Ω (n )
2n
=
O (3n )
23 log(n2 + 7)
=
Θ (log n)
Θ
1+1+1+2
2n + 8 = O (n) 7n2 = Ω (n2 ) 5n log(n10 ) = O (n log n) 3n 6= O (2n ) f, g : N → N
f = O (g) ⇐⇒ g = Ω (f ) 2+2+2+4+5
n0 = 8
c=3
n ≥ n0 = 8 0 ≤ 2n + 8 ≤ 3n
n≥8
= cn n0 = 1
c=7
n ≥ n0 = 1 7n2 ≥ cn2 ≥ 0
n0 = 1
c = 50
n ≥ n0 = 1
0 ≤ 5n log(n10 ) = 50n log n ≤ c(n log n) a, k ∈ Z log(ak ) = k log a
3n = O (2n )
c>0
n0 ∈ N
n ≥ n0 0 ≤ 3n ≤ c · 2n n ≥ n0 3n ≤c 2n n 3 ≤c 2 3 n log2 ≤ log2 c 2 log2 c =: c′ n≤ log2 1.5
⇐⇒ ⇐⇒ ⇐⇒ n
c′
n ≥ n0
(∗)
f = O (g) ⇐⇒ ∃c ≥ 0 ∀n ≥ n0 : 0 ≤ f (n) ≤ cg(n) 1 ⇐⇒ ∃c ≥ 0 ∀n ≥ n0 : 0 ≤ f (n) ≤ g(n) c ⇐⇒ ∃c′ ≥ 0 ∀n ≥ n0 : g(n) ≥ c′ f (n) ≥ 0 ⇐⇒ g = Ω (f )
∗
L
L
O 3+5+2
O (1)
Θn n 2
h5, 3, 1, 6, 4, 8, 7i
T = (V, E) s(v)
v∈V n Θ(
n
) n
Θ(
log n
)
12 + 4 + 2 + 2 + 5
v∈V •
w
•
w
TL (v) TR (v)
s(w) ≤ s(v)
v v
s(w) > s(v)
v v
v
v v w := w v
v
w
w:E→N δG (S) S ⊆ V δG (S)
G = (V, E) T = (V, ET ) G G A ∩ δ(S) = ∅ uv ∈ E G A ∪ uv
A ⊆ ET uv 21 + 14
T T =∅
(4, 6)
T = T ∪ {(4, 6)}
(1, 2)
T = T ∪ {(1, 2)}
T = T ∪ {(5, 6)}
(5, 6)
(4, 5)
T = T ∪ {(1, 3)}
(1, 3)
(2, 3)
T = T ∪ {(2, 4)}
(2, 4)
n−1 G
uv ∈ ET
uv
T uv ∈ / ET ET ∪ {uv}
T T
P
u
v
P ∪ {uv} =: C
uv ∈ δG (S) S
C
u P
δG (S) ∩ A = ∅
S xy ∈ /A
T ′ = (T \ {xy}) ∪ {uv } δG (S)
v xy xy ∈ δG (S) uv e ∈ δG (S)
xy ∈ δG (S) w(uv) ≤ w(e)
w(T ′ ) = w(T ) − w(xy) + w(uv ) ≤ w(T ) − w(uv) + w(uv ) = w(T ) T′
(l + r )/2
l == r
A, a, l, m − 1
a == A[m]
A, a, m + 1, r
10
x>0 k
x
k≥0
xk
xk •
k=0
1
•
k=1
x
•
k>1
x | · x ·{z· · · · x} k
xk
xk =
xk
1, x,
k=0 2
k 2
(x ) , k−1 x · (x2 ) 2 O(log k)
k=1 k>1 k>1
k mod 2 = 0 k mod 2 = 1
10 + 10...