zoukankan      html  css  js  c++  java
  • 1094. Car Pooling

    You are driving a vehicle that has capacity empty seats initially available for passengers.  The vehicle only drives east (ie. it cannot turn around and drive west.)

    Given a list of tripstrip[i] = [num_passengers, start_location, end_location] contains information about the i-th trip: the number of passengers that must be picked up, and the locations to pick them up and drop them off.  The locations are given as the number of kilometers due east from your vehicle's initial location.

    Return true if and only if it is possible to pick up and drop off all passengers for all the given trips. 

    Example 1:

    Input: trips = [[2,1,5],[3,3,7]], capacity = 4
    Output: false
    

    Example 2:

    Input: trips = [[2,1,5],[3,3,7]], capacity = 5
    Output: true
    

    Example 3:

    Input: trips = [[2,1,5],[3,5,7]], capacity = 3
    Output: true
    

    Example 4:

    Input: trips = [[3,2,7],[3,7,9],[8,3,9]], capacity = 11
    Output: true
    
     

    Constraints:

    1. trips.length <= 1000
    2. trips[i].length == 3
    3. 1 <= trips[i][0] <= 100
    4. 0 <= trips[i][1] < trips[i][2] <= 1000
    5. 1 <= capacity <= 100000

    M1: greedy, sort all trips by start point, then use priorityqueue to store trips, order by end point

    time = O(nlogn), space = O(n)

    class Solution {
        public boolean carPooling(int[][] trips, int capacity) {
            Arrays.sort(trips, (a, b) -> a[1] - b[1]);  // sort by start location
            PriorityQueue<int[]> pq = new PriorityQueue<>((a, b) -> a[2] - b[2]);   // order by end location
            int count = capacity;
            for(int[] trip : trips) {
                while(!pq.isEmpty() && trip[1] >= pq.peek()[2]) {    // drop off
                    count += pq.poll()[0];
                }
                count -= trip[0];   // pick up
                if(count < 0) {
                    return false;
                }
                pq.offer(trip);
            }
            return true;
        }
    }

    M2: count passengers at every stop (since stops number are limited)

    Process all trips, adding passenger count to the start location, and removing it from the end location.
    After processing all trips, a positive value for the specific location tells that we are getting more passengers; negative - more empty seats.
    Finally, scan all stops and check if we ever exceed our vehicle capacity.
    time = O(n), space = O(1)

    class Solution {
        public boolean carPooling(int[][] trips, int capacity) {
            int[] stops = new int[1001];
            for(int[] t : trips) {
                stops[t[1]] += t[0];
                stops[t[2]] -= t[0];
            }
            
            for(int i = 0; i < stops.length && capacity >= 0; i++) {
                capacity -= stops[i];
            }
            return capacity >= 0;
        }
    }
  • 相关阅读:
    20170719 Mysql 配置远端Mysql访问,增加表/存储过程
    20170720 Celery 异步任务处理到Sql Server 发生死锁
    20170718 关于Mysql 安装于虚拟机Ubuntu中,内网中Windows系统无法访问
    20170712 SQL Server 日志文件收索
    SQL Server 2016 发送邮件功能
    Sql server 函数--取值年月
    SSIS--(1)
    Hadoop 尝试
    百度之星复赛T6&&hd6149 ——Valley Numer II
    百度之星复赛T5&&hdu6148
  • 原文地址:https://www.cnblogs.com/fatttcat/p/13706064.html
Copyright © 2011-2022 走看看