Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusive.
Range sum S(i, j) is defined as the sum of the elements in nums between indices i and j (i ≤ j), inclusive.

Note:
A naive algorithm of O(n2) is trivial. You MUST do better than that.

Example:

Input: nums = [2, 5, -1], lower = -2, upper = 2,
Output: 3
Explanation: The three ranges are : [0, 0], [2, 2], [0, 2] and their respective sums are: -2, -1, 2.
 

Approach #1: C++.

class Solution {
public:
int countRangeSum(vector<int>& nums, int lower, int upper) {
int len = nums.size();
if (len == 0) return 0;
vector<long> sum(len+1, 0);
for (int i = 0; i < len; ++i)
sum[i+1] += sum[i] + nums[i];
return mergeSort(sum, lower, upper, 0, len+1);
} private:
int mergeSort(vector<long>& sum, int lower, int upper, int left, int right) {
if (right - left <= 1) return 0;
int mid = left + (right - left) / 2;
int m = mid, n = mid, count = 0;
count = mergeSort(sum, lower, upper, left, mid) + mergeSort(sum, lower, upper, mid, right);
for (int i = left; i < mid; ++i) {
while (m < right && sum[m] - sum[i] < lower) m++;
while (n < right && sum[n] - sum[i] <= upper) n++;
count += n - m;
}
inplace_merge(sum.begin()+left, sum.begin()+mid, sum.begin()+right);
return count;
}
};

  

Approach #2: Java.

class Solution {
public int countRangeSum(int[] nums, int lower, int upper) {
if (nums == null || nums.length == 0) return 0;
long[] sums = new long[nums.length];
long sum = 0;
for (int i = 0; i < nums.length; ++i) {
sum += nums[i];
sums[i] += sum;
}
return mergeSort(sums, lower, upper, 0, nums.length-1);
} private int mergeSort(long[] sums, int lower, int upper, int left, int right) {
if (right < left) return 0;
else if (left == right) {
if (sums[left] >= lower && sums[right] <= upper) return 1;
else return 0;
}
int mid = left + (right - left) / 2;
int count = mergeSort(sums, lower, upper, left, mid) + mergeSort(sums, lower, upper, mid+1, right);
int m = mid+1, n = mid+1;
for (int i = left; i <= mid; ++i) {
while (m <= right && sums[m] - sums[i] < lower) m++;
while (n <= right && sums[n] - sums[i] <= upper) n++;
count += n - m;
}
mergeHelper(sums, left, mid, right);
return count;
} private void mergeHelper(long[] sums, int left, int mid, int right) {
int i = left;
int j = mid + 1;
long[] copy = new long[right-left+1];
int p = 0;
while (i <= mid && j <= right) {
if (sums[i] < sums[j]) {
copy[p++] = sums[i++];
} else {
copy[p++] = sums[j++];
}
} while (i <= mid) {
copy[p++] = sums[i++];
} while (j <= right) {
copy[p++] = sums[j++];
} System.arraycopy(copy, 0, sums, left, right-left+1);
}
}

  

Approach #3: Python.

class Solution(object):
def countRangeSum(self, nums, lower, upper):
"""
:type nums: List[int]
:type lower: int
:type upper: int
:rtype: int
"""
first = [0]
for num in nums:
first.append(first[-1] + num) def sort(lo, hi):
mid = (lo + hi) / 2
if mid == lo:
return 0
count = sort(lo, mid) + sort(mid, hi)
i = j = mid
for left in first[lo:mid]:
while i < hi and first[i] - left < lower: i += 1
while j < hi and first[j] - left <= upper: j += 1
count += j - i
first[lo:hi] = sorted(first[lo:hi])
return count
return sort(0, len(first))

  

Notes:

C++ -----> inplace_merge

default (1)
template <class BidirectionalIterator>
void inplace_merge (BidirectionalIterator first, BidirectionalIterator middle,
BidirectionalIterator last);
custom (2)
template <class BidirectionalIterator, class Compare>
void inplace_merge (BidirectionalIterator first, BidirectionalIterator middle,
BidirectionalIterator last, Compare comp);
Merge consecutive sorted ranges

Merges two consecutive sorted ranges: [first,middle) and [middle,last), putting the result into the combined sorted range [first,last).

The elements are compared using operator< for the first version, and comp for the second. The elements in both ranges shall already be ordered according to this same criterion (operator< or comp). The resulting range is also sorted according to this.

The function preserves the relative order of elements with equivalent values, with the elements in the first range preceding those equivalent in the second.

for example:

// inplace_merge example
#include <iostream> // std::cout
#include <algorithm> // std::inplace_merge, std::sort, std::copy
#include <vector> // std::vector int main () {
int first[] = {5,10,15,20,25};
int second[] = {50,40,30,20,10};
std::vector<int> v(10);
std::vector<int>::iterator it; std::sort (first,first+5);
std::sort (second,second+5); it=std::copy (first, first+5, v.begin());
std::copy (second,second+5,it); std::inplace_merge (v.begin(),v.begin()+5,v.end()); std::cout << "The resulting vector contains:";
for (it=v.begin(); it!=v.end(); ++it)
std::cout << ' ' << *it;
std::cout << '\n'; return 0;
}

  

output:

The resulting vector contains: 5 10 10 15 20 20 25 30 40 50

  

327. Count of Range Sum(inplace_marge)的更多相关文章

  1. 327. Count of Range Sum

    /* * 327. Count of Range Sum * 2016-7-8 by Mingyang */ public int countRangeSum(int[] nums, int lowe ...

  2. 【算法之美】你可能想不到的归并排序的神奇应用 — leetcode 327. Count of Range Sum

    又是一道有意思的题目,Count of Range Sum.(PS:leetcode 我已经做了 190 道,欢迎围观全部题解 https://github.com/hanzichi/leetcode ...

  3. [LeetCode] 327. Count of Range Sum 区间和计数

    Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusive.Ra ...

  4. leetcode@ [327] Count of Range Sum (Binary Search)

    https://leetcode.com/problems/count-of-range-sum/ Given an integer array nums, return the number of ...

  5. 【LeetCode】327. Count of Range Sum

    题目: Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusiv ...

  6. 327 Count of Range Sum 区间和计数

    Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusive.Ra ...

  7. LeetCode 327. Count of Range Sum

    无意看到的LeetCode新题,不算太简单,大意是给一个数组,询问多少区间和在某个[L,R]之内.首先做出前缀和,将问题转为数组中多少A[j]-A[i] (j>i)在范围内. 有一种基于归并排序 ...

  8. [LeetCode] Count of Range Sum 区间和计数

    Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusive.Ra ...

  9. LeetCode Count of Range Sum

    原题链接在这里:https://leetcode.com/problems/count-of-range-sum/ 题目: Given an integer array nums, return th ...

随机推荐

  1. CrystalReport runtime的下载地址

    SAP网站的东西实在太多了,找个CrytalReport都费劲.13.*版的可以通过下面的地址下载: SAP Crystal Reports, developer version for Micros ...

  2. matlab 在机器视觉中常用的函数

    ~ triangulate() 三角化(获得距离)匹配点 ~ undistortImage() 去除相机畸变并生成图像

  3. Java for LeetCode 099 Recover Binary Search Tree

    Two elements of a binary search tree (BST) are swapped by mistake. Recover the tree without changing ...

  4. iOS 9 Safari广告拦截插件

    相对于谷歌对广告拦截的禁止,苹果与之态度截然相反,继Mac版Safari加入广告拦截工具之后,即将到来的iOS9对Safari也引入了内容拦截插件-Content Blocker,并且开发者可以使用最 ...

  5. Android Weekly Notes Issue #290

    Android Weekly Issue #290 December 31st, 2017 Android Weekly Issue #290 本期内容包括介绍Kotlin逆变协变的一篇(虽然没说清楚 ...

  6. JavaMail发送和接收邮件

    一.JavaMail概述:        JavaMail是由Sun定义的一套收发电子邮件的API,不同的厂商可以提供自己的实现类.但它并没有包含在JDK中,而是作为JavaEE的一部分. 厂商所提供 ...

  7. 20145239 实验一 Java开发环境的熟悉(Windows + IDEA)

    实验一 Java开发环境的熟悉(Windows + IDEA) 实验内容 1.使用JDK编译.运行简单的Java程序:2.使用Eclipse 编辑.编译.运行.调试Java程序. 实验知识点 1.JV ...

  8. debian7 amd64版本添加对x86包的支持

    dpkg --add-architecture i386apt-get updateapt-get install ia32-libs ia32-libs-gtk

  9. SDUT OJ 1479 数据结构实验之栈:行编辑器

    数据结构实验之栈:行编辑器 Time Limit: 1000ms   Memory limit: 65536K  有疑问?点这里^_^ 题目描述  一个简单的行编辑程序的功能是:接受用户从终端输入的程 ...

  10. CodeChef - ANDMIN —— 线段树 (结点最多被修改的次数)

    题目链接:https://vjudge.net/problem/CodeChef-ANDMIN Read problems statements in Mandarin Chinese, Russia ...