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| 1 | +/** |
| 2 | + * Time Complexity: O(n log n) - Sorting |
| 3 | + * Space Complexity: O(1) - In-place modification |
| 4 | + */ |
| 5 | +class Solution { |
| 6 | + public int[][] merge(int[][] intervals) { |
| 7 | + if (intervals.length <= 1) { |
| 8 | + return intervals; |
| 9 | + } |
| 10 | + |
| 11 | + // Sort intervals by start time |
| 12 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 13 | + |
| 14 | + List<int[]> result = new ArrayList<>(); |
| 15 | + int[] current = intervals[0]; |
| 16 | + |
| 17 | + for (int i = 1; i < intervals.length; i++) { |
| 18 | + if (current[1] >= intervals[i][0]) { |
| 19 | + // Overlapping intervals, merge them |
| 20 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 21 | + } else { |
| 22 | + // Non-overlapping interval, add current and move to next |
| 23 | + result.add(current); |
| 24 | + current = intervals[i]; |
| 25 | + } |
| 26 | + } |
| 27 | + |
| 28 | + // Add the last interval |
| 29 | + result.add(current); |
| 30 | + |
| 31 | + return result.toArray(new int[result.size()][]); |
| 32 | + } |
| 33 | +} |
| 34 | + |
| 35 | +// Alternative approach using sweep line algorithm |
| 36 | +class SolutionSweepLine { |
| 37 | + public int[][] merge(int[][] intervals) { |
| 38 | + if (intervals.length <= 1) { |
| 39 | + return intervals; |
| 40 | + } |
| 41 | + |
| 42 | + List<int[]> events = new ArrayList<>(); |
| 43 | + for (int[] interval : intervals) { |
| 44 | + events.add(new int[]{interval[0], 1}); // Start event |
| 45 | + events.add(new int[]{interval[1], -1}); // End event |
| 46 | + } |
| 47 | + |
| 48 | + events.sort((a, b) -> { |
| 49 | + if (a[0] != b[0]) { |
| 50 | + return Integer.compare(a[0], b[0]); |
| 51 | + } |
| 52 | + return Integer.compare(b[1], a[1]); // End events before start events |
| 53 | + }); |
| 54 | + |
| 55 | + List<int[]> result = new ArrayList<>(); |
| 56 | + int count = 0; |
| 57 | + int start = -1; |
| 58 | + |
| 59 | + for (int[] event : events) { |
| 60 | + if (event[1] == 1) { // Start event |
| 61 | + if (count == 0) { |
| 62 | + start = event[0]; |
| 63 | + } |
| 64 | + count++; |
| 65 | + } else { // End event |
| 66 | + count--; |
| 67 | + if (count == 0) { |
| 68 | + result.add(new int[]{start, event[0]}); |
| 69 | + } |
| 70 | + } |
| 71 | + } |
| 72 | + |
| 73 | + return result.toArray(new int[result.size()][]); |
| 74 | + } |
| 75 | +} |
| 76 | + |
| 77 | +// Alternative approach using iterative |
| 78 | +class SolutionIterative { |
| 79 | + public int[][] merge(int[][] intervals) { |
| 80 | + if (intervals.length <= 1) { |
| 81 | + return intervals; |
| 82 | + } |
| 83 | + |
| 84 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 85 | + |
| 86 | + List<int[]> result = new ArrayList<>(); |
| 87 | + int[] current = intervals[0]; |
| 88 | + |
| 89 | + for (int i = 1; i < intervals.length; i++) { |
| 90 | + if (current[1] >= intervals[i][0]) { |
| 91 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 92 | + } else { |
| 93 | + result.add(current); |
| 94 | + current = intervals[i]; |
| 95 | + } |
| 96 | + } |
| 97 | + |
| 98 | + result.add(current); |
| 99 | + return result.toArray(new int[result.size()][]); |
| 100 | + } |
| 101 | +} |
| 102 | + |
| 103 | +// Alternative approach using while loop |
| 104 | +class SolutionWhileLoop { |
| 105 | + public int[][] merge(int[][] intervals) { |
| 106 | + if (intervals.length <= 1) { |
| 107 | + return intervals; |
| 108 | + } |
| 109 | + |
| 110 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 111 | + |
| 112 | + List<int[]> result = new ArrayList<>(); |
| 113 | + int[] current = intervals[0]; |
| 114 | + int i = 1; |
| 115 | + |
| 116 | + while (i < intervals.length) { |
| 117 | + if (current[1] >= intervals[i][0]) { |
| 118 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 119 | + } else { |
| 120 | + result.add(current); |
| 121 | + current = intervals[i]; |
| 122 | + } |
| 123 | + i++; |
| 124 | + } |
| 125 | + |
| 126 | + result.add(current); |
| 127 | + return result.toArray(new int[result.size()][]); |
| 128 | + } |
| 129 | +} |
| 130 | + |
| 131 | +// Alternative approach using enhanced for loop |
| 132 | +class SolutionEnhancedForLoop { |
| 133 | + public int[][] merge(int[][] intervals) { |
| 134 | + if (intervals.length <= 1) { |
| 135 | + return intervals; |
| 136 | + } |
| 137 | + |
| 138 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 139 | + |
| 140 | + List<int[]> result = new ArrayList<>(); |
| 141 | + int[] current = intervals[0]; |
| 142 | + |
| 143 | + for (int i = 1; i < intervals.length; i++) { |
| 144 | + if (current[1] >= intervals[i][0]) { |
| 145 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 146 | + } else { |
| 147 | + result.add(current); |
| 148 | + current = intervals[i]; |
| 149 | + } |
| 150 | + } |
| 151 | + |
| 152 | + result.add(current); |
| 153 | + return result.toArray(new int[result.size()][]); |
| 154 | + } |
| 155 | +} |
| 156 | + |
| 157 | +// Alternative approach using recursive |
| 158 | +class SolutionRecursive { |
| 159 | + public int[][] merge(int[][] intervals) { |
| 160 | + if (intervals.length <= 1) { |
| 161 | + return intervals; |
| 162 | + } |
| 163 | + |
| 164 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 165 | + |
| 166 | + List<int[]> result = new ArrayList<>(); |
| 167 | + mergeHelper(intervals, 0, result); |
| 168 | + |
| 169 | + return result.toArray(new int[result.size()][]); |
| 170 | + } |
| 171 | + |
| 172 | + private void mergeHelper(int[][] intervals, int index, List<int[]> result) { |
| 173 | + if (index >= intervals.length) { |
| 174 | + return; |
| 175 | + } |
| 176 | + |
| 177 | + int[] current = intervals[index]; |
| 178 | + int i = index + 1; |
| 179 | + |
| 180 | + while (i < intervals.length && current[1] >= intervals[i][0]) { |
| 181 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 182 | + i++; |
| 183 | + } |
| 184 | + |
| 185 | + result.add(current); |
| 186 | + mergeHelper(intervals, i, result); |
| 187 | + } |
| 188 | +} |
| 189 | + |
| 190 | +// More concise version |
| 191 | +class SolutionConcise { |
| 192 | + public int[][] merge(int[][] intervals) { |
| 193 | + if (intervals.length <= 1) return intervals; |
| 194 | + |
| 195 | + Arrays.sort(intervals, (a, b) -> Integer.compare(a[0], b[0])); |
| 196 | + |
| 197 | + List<int[]> result = new ArrayList<>(); |
| 198 | + int[] current = intervals[0]; |
| 199 | + |
| 200 | + for (int i = 1; i < intervals.length; i++) { |
| 201 | + if (current[1] >= intervals[i][0]) { |
| 202 | + current[1] = Math.max(current[1], intervals[i][1]); |
| 203 | + } else { |
| 204 | + result.add(current); |
| 205 | + current = intervals[i]; |
| 206 | + } |
| 207 | + } |
| 208 | + |
| 209 | + result.add(current); |
| 210 | + return result.toArray(new int[result.size()][]); |
| 211 | + } |
| 212 | +} |
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