[leetcode-658-Find K Closest Elements]

Given a sorted array, two integers k and x, find the k closest elements to x in the array. The result should also be sorted in ascending order. If there is a tie, the smaller elements are always preferred.

Example 1:

Input: [1,2,3,4,5], k=4, x=3
Output: [1,2,3,4]

Example 2:

Input: [1,2,3,4,5], k=4, x=-1
Output: [1,2,3,4]

Note:

  1. The value k is positive and will always be smaller than the length of the sorted array.
  2. Length of the given array is positive and will not exceed 104
  3. Absolute value of elements in the array and x will not exceed 104

思路:

用一个map记录数组中的值距离x的大小,利用map有序的特性。

        int SIZE = arr.size();
        map<int, vector<int>> m;
        for(int i = 0; i < SIZE; ++i) {
            int val = arr[i];
            m[abs(val - x)].push_back(val);
        }
        vector<int> ans;
        auto it = m.begin();
        while(ans.size() < k) {
            vector<int> &v = it->second;
            sort(v.begin(), v.end());
            int i = 0;
            while(i < v.size() && k > ans.size()) {
                ans.push_back(v[i++]);
            }
            ++it;
        }
        sort(ans.begin(), ans.end());
        return ans;
vector<int> findClosestElements(vector<int>& arr, int k, int x)
{
    vector< int > ret;
    vector< int > cur;
    auto it = lower_bound( arr.begin(), arr.end(), x );////cout << *it << endl;

    long long sum = 0;
    long long min_val = 0xc0c0c0c0;
    auto it_start = ( it - k < arr.begin() ) ? arr.begin() : it-k;
    auto it_end = ( it > arr.end() - k ) ? arr.end() - k : it;

    //cout << *it_start << endl;
    //cout << *it_end << endl;

    for( auto it_cur = it_start; it_cur <= it_end; it_cur++ )
    {
        sum = 0;
        cur.clear();
        for( int i = 0; i < k; i++ )
        {
            cur.push_back( *(it_cur+i) );
            sum += abs( ( *(it_cur+i) - x ) );
        }
        if( sum < min_val )
        {
            min_val = sum;
            swap( ret, cur );
        }
    }

    return ret;
}
原文地址:https://www.cnblogs.com/hellowooorld/p/7352757.html