Package g0201_0300.s0295_find_median_from_data_stream

Class MedianFinder

java.lang.Object
g0201_0300.s0295_find_median_from_data_stream.MedianFinder
public class MedianFinder extends Object
295 - Find Median from Data Stream\. Hard The **median** is the middle value in an ordered integer list. If the size of the list is even, there is no middle value and the median is the mean of the two middle values. * For example, for `arr = [2,3,4]`, the median is `3`. * For example, for `arr = [2,3]`, the median is `(2 + 3) / 2 = 2.5`. Implement the MedianFinder class: * `MedianFinder()` initializes the `MedianFinder` object. * `void addNum(int num)` adds the integer `num` from the data stream to the data structure. * `double findMedian()` returns the median of all elements so far. Answers within 10-5 of the actual answer will be accepted. **Example 1:** **Input** ["MedianFinder", "addNum", "addNum", "findMedian", "addNum", "findMedian"] [ [], [1], [2], [], [3], []] **Output:** [null, null, null, 1.5, null, 2.0] **Explanation:** MedianFinder medianFinder = new MedianFinder(); medianFinder.addNum(1); // arr = [1] medianFinder.addNum(2); // arr = [1, 2] medianFinder.findMedian(); // return 1.5 (i.e., (1 + 2) / 2) medianFinder.addNum(3); // arr[1, 2, 3] medianFinder.findMedian(); // return 2.0 **Constraints:** * -105 <= num <= 105 * There will be at least one element in the data structure before calling `findMedian`. * At most 5 * 104 calls will be made to `addNum` and `findMedian`. **Follow up:** * If all integer numbers from the stream are in the range `[0, 100]`, how would you optimize your solution? * If `99%` of all integer numbers from the stream are in the range `[0, 100]`, how would you optimize your solution?

  • Constructor Details

    • MedianFinder

      public MedianFinder()

  • Method Details