-
Notifications
You must be signed in to change notification settings - Fork 199
/
Copy pathProgram.java
221 lines (169 loc) · 5.86 KB
/
Program.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
package AlgoExSolutions.Hard.DijkstrasAlgorithm;
import java.util.*;
/**
* * Dijkstra's Algorithm
*/
class Program {
/**
* * O((v + e) * log v) time | O(v) space
*/
public int[] dijkstrasAlgorithm(int start, int[][][] edges) {
// Write your code here.
int len = edges.length;
int[] minDistances = new int[len];
Arrays.fill(minDistances, Integer.MAX_VALUE);
minDistances[start] = 0;
List<Item> minDistancesPairs = new ArrayList<>();
for (int i = 0; i < len; i++) minDistancesPairs.add(new Item(i, Integer.MAX_VALUE));
MinHeap minHeap = new MinHeap(minDistancesPairs);
minHeap.update(start, 0);
while (!minHeap.isEmpty()) {
Item minItem = minHeap.remove();
int srcVertex = minItem.vertex;
int currentMinDistance = minItem.distance;
if (currentMinDistance == Integer.MAX_VALUE) break;
for (int[] edge : edges[srcVertex]) {
int destVertex = edge[0];
int newPathDistance = edge[1] + currentMinDistance;
if (newPathDistance < minDistances[destVertex]) {
minDistances[destVertex] = newPathDistance;
minHeap.update(destVertex, newPathDistance);
}
}
}
replaceInfinities(minDistances);
return minDistances;
}
/**
* * O(v^2) time | O(v) space
*/
// public int[] dijkstrasAlgorithm(int start, int[][][] edges) {
// int[] minDistances = new int[edges.length];
// Arrays.fill(minDistances, Integer.MAX_VALUE);
// minDistances[start] = 0;
// Set<Integer> visited = new HashSet<>();
// while (visited.size() != edges.length) {
// int[] vertexInfo = getVertexWithMinDistance(minDistances, visited);
// int srcVertex = vertexInfo[0], currentMinDistance = vertexInfo[1];
// if (currentMinDistance == Integer.MAX_VALUE) break;
// visited.add(srcVertex);
// for (int[] edge : edges[srcVertex]) {
// int destVertex = edge[0], newPathDistance = edge[1] + currentMinDistance;
// if (visited.contains(destVertex)) continue;
// if (newPathDistance < minDistances[destVertex])
// minDistances[destVertex] = newPathDistance;
// }
// }
// replaceInfinities(minDistances);
// return minDistances;
// }
// private int[] getVertexWithMinDistance(int[] distances, Set<Integer> visited) {
// int minVertex = -1, minDistance = Integer.MAX_VALUE;
// for (int vertex = 0; vertex < distances.length; vertex++) {
// if (visited.contains(vertex)) continue;
// if (distances[vertex] <= minDistance) {
// minDistance = distances[vertex];
// minVertex = vertex;
// }
// }
// return new int[] {minVertex, minDistance};
// }
private void replaceInfinities(int[] distances) {
for (int idx = 0; idx < distances.length; idx++) {
if (distances[idx] == Integer.MAX_VALUE) distances[idx] = -1;
}
}
static class Item {
int vertex;
int distance;
public Item(int vertex, int distance) {
this.vertex = vertex;
this.distance = distance;
}
}
static class MinHeap {
Map<Integer, Integer> vertexMap;
List<Item> heap;
public MinHeap(List<Item> array) {
vertexMap = buildVertexMap(array);
heap = buildHeap(array);
}
private List<Item> buildHeap(List<Item> array) {
// Write your code here.
int lastParentIdx = parent(array.size() - 1);
while (lastParentIdx >= 0) {
siftDown(lastParentIdx, array.size() - 1, array);
--lastParentIdx;
}
return array;
}
private Map<Integer, Integer> buildVertexMap(List<Item> array) {
Map<Integer, Integer> vertexMap = new HashMap<>();
for (int i = 0; i < array.size(); i++) {
Item item = array.get(i);
vertexMap.put(item.vertex, item.vertex);
}
return vertexMap;
}
private int parent(int index) {
return (int) Math.floor((index - 1) / 2);
}
private int left(int index) {
return (int) Math.floor((2 * index) + 1);
}
private int right(int index) {
return (int) Math.floor((2 * index) + 2);
}
private void swap(int firstIdx, int secondIdx) {
vertexMap.put(heap.get(firstIdx).vertex, secondIdx);
vertexMap.put(heap.get(secondIdx).vertex, firstIdx);
Item temp = heap.get(firstIdx);
heap.set(firstIdx, heap.get(secondIdx));
heap.set(secondIdx, temp);
}
private void siftDown(int currentIdx, int endIdx, List<Item> heap) {
// Write your code here.
int leftIdx = left(currentIdx);
int rightIdx = right(currentIdx);
int smallestIdx = currentIdx;
if (leftIdx <= endIdx && heap.get(leftIdx).distance < heap.get(currentIdx).distance)
smallestIdx = leftIdx;
if (rightIdx <= endIdx && heap.get(rightIdx).distance < heap.get(smallestIdx).distance)
smallestIdx = rightIdx;
if (smallestIdx != currentIdx) {
swap(currentIdx, smallestIdx);
siftDown(smallestIdx, endIdx, heap);
}
}
private void siftUp(int currentIdx, List<Item> heap) {
// Write your code here.
int parentIdx = parent(currentIdx);
while (currentIdx > 0 && heap.get(parentIdx).distance > heap.get(currentIdx).distance) {
swap(currentIdx, parentIdx);
currentIdx = parentIdx;
parentIdx = parent(currentIdx);
}
}
public Item peek() {
// Write your code here.
return heap.get(0);
}
public Item remove() {
// Write your code here.
if (isEmpty()) return null;
swap(0, heap.size() - 1);
Item lastItem = heap.remove(heap.size() - 1);
vertexMap.remove(lastItem.vertex);
siftDown(0, heap.size() - 1, heap);
return lastItem;
}
public void update(int vertex, int value) {
// Write your code here.
heap.set(vertexMap.get(vertex), new Item(vertex, value));
siftUp(vertexMap.get(vertex), heap);
}
public boolean isEmpty() {
return heap.size() == 0;
}
}
}