2018-09-07 09:03:14
一、Merge Intervals
问题描述:

问题求解:
1public List<Interval> merge(List<Interval> intervals) { 2 List<Interval> res = new ArrayList<>(); 3 if (intervals.size() == 0) return res; 4 Collections.sort(intervals, new Comparator<Interval>() { 5 public int compare(Interval o1, Interval o2) { 6 return o1.start - o2.start; 7 } 8 }); 9 int start = intervals.get(0).start; 10 int end = intervals.get(0).end; 11 for (int i = 1; i < intervals.size(); i++) { 12 if (intervals.get(i).start > end) { 13 res.add(new Interval(start, end)); 14 start = intervals.get(i).start; 15 end = intervals.get(i).end; 16 } 17 else { 18 end = Math.max(end, intervals.get(i).end); 19 } 20 } 21 res.add(new Interval(start, end)); 22 return res; 23 }
二、Insert Interval
问题描述:

问题求解:
本题的问题描述中明确的说明了,本题的给出条件中的intervals是已经排序好的,并且是没有overlapping的,因此在后续的求解过程中只需要一次遍历即可。
1public List<Interval> insert(List<Interval> intervals, Interval newInterval) { 2 List<Interval> res = new ArrayList<>(); 3 int i = 0; 4 while (i < intervals.size() && intervals.get(i).end < newInterval.start) { 5 res.add(intervals.get(i++)); 6 } 7 while (i < intervals.size() && intervals.get(i).start <= newInterval.end) { 8 newInterval.start = Math.min(newInterval.start, intervals.get(i).start); 9 newInterval.end = Math.max(newInterval.end, intervals.get(i).end); 10 i++; 11 } 12 res.add(newInterval); 13 while (i < intervals.size()) res.add(intervals.get(i++)); 14 return res; 15 }
三、My Calendar I
问题描述:

问题求解:
解法一:Boundary Counting
对边界进行计数,最后遍历一遍即可,如果过程中有curSum大于1的情况,则表明出现了overlapping。
如果使用keySet()则会多出log(n)的时间,而本题卡时间非常紧,如果使用key进行提取,则会TLE。
如果使用entrySet(),则会Accept,但是也是将将通过。
public class MyCalendar { TreeMap<Integer, Integer> map; public MyCalendar() { map = new TreeMap<>(); } public boolean book(int start, int end) { return helper(start, end); } private boolean helper(int start, int end) { map.put(start, map.getOrDefault(start, 0) + 1); map.put(end, map.getOrDefault(end, 0) - 1); int curSum = 0; for (Map.Entry<Integer, Integer> entry : map.entrySet()) { curSum += entry.getValue(); if (curSum > 1) { map.put(start, map.get(start) - 1); if (map.get(start) == 0) map.remove(start); map.put(end, map.get(end) + 1); if (map.get(end) == 0) map.remove(end); return false; } } return true; }}
解法二、
记录各个interval,并且所有的interval都是没有overlapping的。
1public class MyCalendar { TreeMap<Integer, Integer> treeMap; 2 3 public MyCalendar() { 4 treeMap = new TreeMap<>(); 5 } 6 7 public boolean book(int start, int end) { 8 Integer floor = treeMap.floorKey(start); 9 if (floor != null && treeMap.get(floor) > start) return false; 10 Integer ceil = treeMap.ceilingKey(start); 11 if (ceil != null && ceil < end) return false; 12 treeMap.put(start, end); 13 return true; 14 }}
四、My Calendar II
问题描述:

问题求解:
万能的Boundary Counting。
1public class MyCalendarTwo { 2 TreeMap<Integer, Integer> map; 3 4 public MyCalendarTwo() { 5 map = new TreeMap<>(); 6 } 7 8 public boolean book(int start, int end) { 9 map.put(start, map.getOrDefault(start, 0) + 1); 10 map.put(end, map.getOrDefault(end, 0) - 1); 11 int cnt = 0; 12 for (Map.Entry<Integer, Integer> entry : map.entrySet()) { 13 cnt += entry.getValue(); 14 if (cnt > 2) { 15 map.put(start, map.get(start) - 1); 16 if (map.get(start) == 0) map.remove(start); 17 map.put(end, map.get(end) + 1); 18 if (map.get(end) == 0) map.remove(end); 19 return false; 20 } 21 } 22 return true; 23 } 24}
五、My Calendar III
问题描述:

问题求解:
解法一:
万能的Boundary Counting。
1public class MyCalendarThree { 2 TreeMap<Integer, Integer> map; 3 4 public MyCalendarThree() { 5 map = new TreeMap<>(); 6 } 7 8 public int book(int start, int end) { 9 map.put(start, map.getOrDefault(start, 0) + 1); 10 map.put(end, map.getOrDefault(end, 0) - 1); 11 int res = 0; 12 int cnt = 0; 13 for (Map.Entry<Integer, Integer> entry : map.entrySet()) { 14 cnt += entry.getValue(); 15 if (res < cnt) res = cnt; 16 } 17 return res; 18 } 19}
解法二:
线段树求解,效率有较大的提升。
1public class MyCalendarThree { 2 SegmentTree root; 3 int res; 4 5 public MyCalendarThree() { 6 root = new SegmentTree(0, 1000000000, 0); 7 res = 0; 8 } 9 10 public int book(int start, int end) { 11 add(start, end, root); 12 return res; 13 } 14 15 private void add(int start, int end, SegmentTree root) { 16 if (root.m != -1) { 17 if (start >= root.m) add(start, end, root.right); 18 else if (end <= root.m) add(start, end, root.left); 19 else { 20 add(start, root.m, root.left); 21 add(root.m, end, root.right); 22 } 23 return; 24 } 25 26 if (start == root.l && end == root.r) { 27 root.cnt++; 28 res = Math.max(res, root.cnt); 29 } 30 else if (start == root.l) { 31 root.m = end; 32 root.left = new SegmentTree(start, root.m, root.cnt + 1); 33 root.right = new SegmentTree(root.m, root.r, root.cnt); 34 res = Math.max(res, root.cnt + 1); 35 } 36 else if (end == root.r) { 37 root.m = start; 38 root.left = new SegmentTree(root.l, root.m, root.cnt); 39 root.right = new SegmentTree(root.m, root.r, root.cnt + 1); 40 res = Math.max(res, root.cnt + 1); 41 } 42 else { 43 root.m = start; 44 root.left = new SegmentTree(root.l, root.m, root.cnt); 45 root.right = new SegmentTree(root.m, root.r, root.cnt); 46 add(start, end, root.right); 47 } 48 } 49} 50 51class SegmentTree { 52 int l; 53 int r; 54 int m; // m : 分割点,如果尚未分割则为-1。 55 int cnt; 56 SegmentTree left; 57 SegmentTree right; 58 59 SegmentTree(int l, int r, int cnt) { 60 this.l = l; 61 this.r = r; 62 this.m = -1; 63 this.cnt = cnt; 64 this.left = null; 65 this.right = null; 66 } 67}
六、Interval List Intersections
问题描述:


问题求解:
如何快速判断是否相交呢?

1public int[][] intervalIntersection(int[][] A, int[][] B) { 2 List<int[]> res = new ArrayList<>(); 3 int i = 0; 4 int j = 0; 5 while (i < A.length && j < B.length) { 6 int s = Math.max(A[i][0], B[j][0]); 7 int e = Math.min(A[i][1], B[j][1]); 8 if (s <= e) res.add(new int[]{s, e}); 9 if (A[i][1] < B[j][1]) i++; 10 else j++; 11 } 12 int[][] rst = new int[res.size()][2]; 13 for (i = 0; i < res.size(); i++) { 14 rst[i][0] = res.get(i)[0]; 15 rst[i][1] = res.get(i)[1]; 16 } 17 return rst; 18 }