Download - Cormen Algo-lec17
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.1
Introduction to Algorithms6.046J/18.401J
LECTURE 17Shortest Paths I• Properties of shortest paths• Dijkstra’s algorithm• Correctness• Analysis• Breadth-first search
Prof. Erik Demaine
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.2
Paths in graphsConsider a digraph G = (V, E) with edge-weight function w : E → R. The weight of path p = v1 →v2 →L→ vk is defined to be
∑−
=+=
1
11),()(
k
iii vvwpw .
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.3
Paths in graphsConsider a digraph G = (V, E) with edge-weight function w : E → R. The weight of path p = v1 →v2 →L→ vk is defined to be
∑−
=+=
1
11),()(
k
iii vvwpw .
v1v1
v2v2
v3v3
v4v4
v5v54 –2 –5 1
Example:
w(p) = –2
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.4
Shortest paths
A shortest path from u to v is a path of minimum weight from u to v. The shortest-path weight from u to v is defined asδ(u, v) = min{w(p) : p is a path from u to v}.
Note: δ(u, v) = ∞ if no path from u to v exists.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.5
Optimal substructure
Theorem. A subpath of a shortest path is a shortest path.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.6
Optimal substructure
Theorem. A subpath of a shortest path is a shortest path.
Proof. Cut and paste:
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.7
Optimal substructure
Theorem. A subpath of a shortest path is a shortest path.
Proof. Cut and paste:
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.8
Triangle inequality
Theorem. For all u, v, x ∈ V, we haveδ(u, v) ≤ δ(u, x) + δ(x, v).
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.9
Triangle inequality
Theorem. For all u, v, x ∈ V, we haveδ(u, v) ≤ δ(u, x) + δ(x, v).
uu
Proof.
xx
vvδ(u, v)
δ(u, x) δ(x, v)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.10
Well-definedness of shortest paths
If a graph G contains a negative-weight cycle, then some shortest paths may not exist.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.11
Well-definedness of shortest paths
If a graph G contains a negative-weight cycle, then some shortest paths may not exist.
Example:
uu vv
…
< 0
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.12
Single-source shortest pathsProblem. From a given source vertex s ∈ V, find the shortest-path weights δ(s, v) for all v ∈ V.If all edge weights w(u, v) are nonnegative, all shortest-path weights must exist. IDEA: Greedy.1. Maintain a set S of vertices whose shortest-
path distances from s are known.2. At each step add to S the vertex v ∈ V – S
whose distance estimate from s is minimal.3. Update the distance estimates of vertices
adjacent to v.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.13
Dijkstra’s algorithmd[s] ← 0for each v ∈ V – {s}
do d[v] ←∞S ←∅Q ← V ⊳ Q is a priority queue maintaining V – S
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.14
Dijkstra’s algorithmd[s] ← 0for each v ∈ V – {s}
do d[v] ←∞S ←∅Q ← V ⊳ Q is a priority queue maintaining V – Swhile Q ≠ ∅
do u ← EXTRACT-MIN(Q)S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.15
Dijkstra’s algorithmd[s] ← 0for each v ∈ V – {s}
do d[v] ←∞S ←∅Q ← V ⊳ Q is a priority queue maintaining V – Swhile Q ≠ ∅
do u ← EXTRACT-MIN(Q)S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
Implicit DECREASE-KEY
relaxation step
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.16
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2
Graph with nonnegative edge weights:
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.17
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2
Initialize:
0
∞ ∞
Q: A B C D E0 ∞ ∞ ∞ ∞ ∞ ∞
S: {}
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.18
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2
0
∞ ∞“A” ← EXTRACT-MIN(Q):
Q: A B C D E0 ∞ ∞ ∞ ∞ ∞ ∞
S: { A }
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.19
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2Q: A B C D E0 ∞ ∞ ∞ ∞
0
10 ∞
10 3
Relax all edges leaving A:
∞ ∞3 ∞
S: { A }
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.20
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
10 ∞
10 3
“C” ← EXTRACT-MIN(Q):
∞ ∞3 ∞
S: { A, C }
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.21
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 11
10
S: { A, C }3
7 11 5
Relax all edges leaving C:
∞ ∞3 5
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.22
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 11
10 37 11 5
“E” ← EXTRACT-MIN(Q):
∞ ∞3 5
S: { A, C, E }
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.23
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 11
10
S: { A, C, E }3 ∞ ∞
7 11 57 11
Relax all edges leaving E:
3 5
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.24
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 11
10 3 ∞ ∞7 11 57 11
“B” ← EXTRACT-MIN(Q):
3 5
S: { A, C, E, B }
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.25
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 9
10
S: { A, C, E, B }3 ∞ ∞
7 11 57 11
Relax all edges leaving B:
9
3 5
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.26
Example of Dijkstra’s algorithm
AA
BB DD
CC EE
10
3
1 4 7 98
2
2A B C D EQ:0 ∞ ∞ ∞ ∞
0
7 9
10
S: { A, C, E, B, D }3 ∞ ∞
7 11 57 11
9
“D” ← EXTRACT-MIN(Q):
3 5
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.27
Correctness — Part ILemma. Initializing d[s] ← 0 and d[v] ←∞ for all v ∈ V – {s} establishes d[v] ≥ δ(s, v) for all v ∈ V, and this invariant is maintained over any sequence of relaxation steps.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.28
Correctness — Part ILemma. Initializing d[s] ← 0 and d[v] ←∞ for all v ∈ V – {s} establishes d[v] ≥ δ(s, v) for all v ∈ V, and this invariant is maintained over any sequence of relaxation steps.Proof. Suppose not. Let v be the first vertex for which d[v] < δ(s, v), and let u be the vertex that caused d[v] to change: d[v] = d[u] + w(u, v). Then,
d[v] < δ(s, v) supposition≤ δ(s, u) + δ(u, v) triangle inequality≤ δ(s,u) + w(u, v) sh. path ≤ specific path≤ d[u] + w(u, v) v is first violation
Contradiction.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.29
Correctness — Part IILemma. Let u be v’s predecessor on a shortest path from s to v. Then, if d[u] = δ(s, u) and edge (u, v) is relaxed, we have d[v] = δ(s, v) after the relaxation.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.30
Correctness — Part IILemma. Let u be v’s predecessor on a shortest path from s to v. Then, if d[u] = δ(s, u) and edge (u, v) is relaxed, we have d[v] = δ(s, v) after the relaxation.Proof. Observe that δ(s, v) = δ(s, u) + w(u, v). Suppose that d[v] > δ(s, v) before the relaxation. (Otherwise, we’re done.) Then, the test d[v] > d[u] + w(u, v) succeeds, because d[v] > δ(s, v) = δ(s, u) + w(u, v) = d[u] + w(u, v), and the algorithm sets d[v] = d[u] + w(u, v) = δ(s, v).
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.31
Correctness — Part IIITheorem. Dijkstra’s algorithm terminates with d[v] = δ(s, v) for all v ∈ V.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.32
Correctness — Part IIITheorem. Dijkstra’s algorithm terminates with d[v] = δ(s, v) for all v ∈ V.Proof. It suffices to show that d[v] = δ(s, v) for every v ∈ V when v is added to S. Suppose u is the first vertex added to S for which d[u] > δ(s, u). Let y be the first vertex in V – S along a shortest path from s to u, and let x be its predecessor:
ss xx yy
uu
S, just before adding u.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.33
Correctness — Part III (continued)
ss xx yy
uuS
Since u is the first vertex violating the claimed invariant, we have d[x] = δ(s, x). When x was added to S, the edge (x, y) was relaxed, which implies that d[y] = δ(s, y) ≤ δ(s, u) < d[u]. But, d[u] ≤ d[y] by our choice of u. Contradiction.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.34
Analysis of Dijkstrawhile Q ≠ ∅
do u ← EXTRACT-MIN(Q)S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.35
Analysis of Dijkstrawhile Q ≠ ∅
do u ← EXTRACT-MIN(Q)S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
|V |times
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.36
Analysis of Dijkstra
degree(u)times
|V |times
while Q ≠ ∅do u ← EXTRACT-MIN(Q)
S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.37
Analysis of Dijkstra
degree(u)times
|V |times
Handshaking Lemma ⇒Θ(E) implicit DECREASE-KEY’s.
while Q ≠ ∅do u ← EXTRACT-MIN(Q)
S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.38
Analysis of Dijkstra
degree(u)times
|V |times
Handshaking Lemma ⇒Θ(E) implicit DECREASE-KEY’s.
while Q ≠ ∅do u ← EXTRACT-MIN(Q)
S ← S ∪ {u}for each v ∈ Adj[u]
do if d[v] > d[u] + w(u, v)then d[v] ← d[u] + w(u, v)
Time = Θ(V·TEXTRACT-MIN + E·TDECREASE-KEY)
Note: Same formula as in the analysis of Prim’s minimum spanning tree algorithm.
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.39
Analysis of Dijkstra (continued)
Time = Θ(V)·TEXTRACT-MIN + Θ(E)·TDECREASE-KEY
TotalQ T TDECREASE-KEYEXTRACT-MIN
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.40
Analysis of Dijkstra (continued)
Time = Θ(V)·TEXTRACT-MIN + Θ(E)·TDECREASE-KEY
TotalQ T TDECREASE-KEYEXTRACT-MIN
array O(V) O(1) O(V2)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.41
Analysis of Dijkstra (continued)
Time = Θ(V)·TEXTRACT-MIN + Θ(E)·TDECREASE-KEY
TotalQ T TDECREASE-KEYEXTRACT-MIN
array O(V) O(1) O(V2)binary heap O(lg V) O(lg V) O(E lg V)
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.42
Analysis of Dijkstra (continued)
Time = Θ(V)·TEXTRACT-MIN + Θ(E)·TDECREASE-KEY
TotalQ T TDECREASE-KEYEXTRACT-MIN
array O(V) O(1) O(V2)binary heap O(lg V) O(lg V) O(E lg V)
Fibonacci heap
O(lg V)amortized
O(1)amortized
O(E + V lg V)worst case
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.43
Unweighted graphsSuppose that w(u, v) = 1 for all (u, v) ∈ E. Can Dijkstra’s algorithm be improved?
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.44
Unweighted graphs
• Use a simple FIFO queue instead of a priority queue.
Suppose that w(u, v) = 1 for all (u, v) ∈ E. Can Dijkstra’s algorithm be improved?
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Unweighted graphs
while Q ≠ ∅do u ← DEQUEUE(Q)
for each v ∈ Adj[u]do if d[v] = ∞
then d[v] ← d[u] + 1ENQUEUE(Q, v)
Breadth-first search
• Use a simple FIFO queue instead of a priority queue.
Suppose that w(u, v) = 1 for all (u, v) ∈ E. Can Dijkstra’s algorithm be improved?
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Unweighted graphs
while Q ≠ ∅do u ← DEQUEUE(Q)
for each v ∈ Adj[u]do if d[v] = ∞
then d[v] ← d[u] + 1ENQUEUE(Q, v)
Analysis: Time = O(V + E).
Breadth-first search
• Use a simple FIFO queue instead of a priority queue.
Suppose that w(u, v) = 1 for all (u, v) ∈ E. Can Dijkstra’s algorithm be improved?
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.47
Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh
Q:
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh0
Q: a0
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Example of breadth-first search
aa
bb
cc
dd
eegg
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ff hh0 1
1
Q: a b d1 1
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh0 1
1
22
Q: a b d c e1 2 2
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh0 1
1
22
Q: a b d c e2 2
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh0 1
1
22
Q: a b d c e2
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh0 1
31
2 32
Q: a b d c e g i3 3
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh1
3
40
1
2 32
Q: a b d c e g i f3 4
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh1
3
4 40
1
2 32
Q: a b d c e g i f h4 4
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Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh1
3
4 40
1
2 32
Q: a b d c e g i f h4
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.57
Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh1
3
4 40
1
2 32
Q: a b d c e g i f h
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.58
Example of breadth-first search
aa
bb
cc
dd
eegg
ii
ff hh1
3
4 40
1
2 32
Q: a b d c e g i f h
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November 14, 2005 Copyright © 2001-5 by Erik D. Demaine and Charles E. Leiserson L17.59
Correctness of BFS
Key idea:The FIFO Q in breadth-first search mimics the priority queue Q in Dijkstra.
while Q ≠ ∅do u ← DEQUEUE(Q)
for each v ∈ Adj[u]do if d[v] = ∞
then d[v] ← d[u] + 1ENQUEUE(Q, v)
• Invariant: v comes after u in Q implies that d[v] = d[u] or d[v] = d[u] + 1.