本文涉及的基础知识点

C++二分查找
C++差分数组
【C++】树状数组的使用、原理、封装类、样例

P6172 [USACO16FEB] Load Balancing P

题目背景

本题与 银组同名题目 在题意上一致,唯一的差别是数据范围。

题目描述

Farmer John 的 N N N 头奶牛( 1 ≤ N ≤ 1 0 5 1 \leq N \leq 10^5 1N105)散布在整个农场上。整个农场是一个无限大的二维平面,第 i i i 头奶牛的坐标是 ( x i , y i ) (x_i,y_i) (xi,yi)(保证 x i , y i x_i,y_i xi,yi 均为正奇数,且 x i , y i ≤ 1 0 6 x_i,y_i \leq 10^6 xi,yi106),且没有任意两头奶牛在同一位置上。

FJ 希望修建一条竖直方向的栅栏,它的方程是 x = a x=a x=a,他还希望修建一条水平方向的栅栏,它的方程是 y = b y=b y=b。为了防止栅栏经过奶牛, a , b a,b a,b 均要求是偶数。容易发现,这两个栅栏会在 ( a , b ) (a,b) (a,b) 处相交,将整个农场分割为四个区域。

FJ 希望这四个区域内的奶牛数量较为均衡,尽量避免一个区域奶牛多而另一个区域奶牛少的情况。令 M M M 为四个区域里奶牛最多区域的奶牛数量,请帮 FJ 求出 M M M 的最小值。

输入格式

第一行一个整数 N N N

接下来 N N N 行,每行两个整数 x i , y i x_i,y_i xi,yi,描述第 i i i 头奶牛的位置。

输出格式

输出 M M M 的最小值。

输入输出样例 #1

输入 #1

7
7 3
5 5
7 13
3 1
11 7
5 3
9 1

输出 #1

2

二分查找 树状数组 差分数组 离散化

各点按x升序排序,对y离散化(y的最小值改成0,次小值改成1…)
枚举a,计算b。x <=a的奶牛在左边,用树状数组实现的差分数组diff1记录;x>a的奶牛在右边,用diff2记录。a 从a1迭代a2时,任意(a2,y)都:
diff1[y]++ ,diff2[y]–。
针对每个a,进行二分:
二分类型:寻找首端。
参数范围:[0,Y]
检测函数逻辑:[0,a]包括a,是左边;其余是右边。[0,b]是上边,其余是下边。
M1,M2,M3,M4是左上,右上,左下,右下的奶牛数。
检测函数返回:max(M1,M2) >= max(M3,M4)
如果二分函数的返回值是:b1,则只需要考虑b1和b1-1。

代码

核心代码

#include <iostream>
#include <sstream>
#include <vector>
#include<map>
#include<unordered_map>
#include<set>
#include<unordered_set>
#include<string>
#include<algorithm>
#include<functional>
#include<queue>
#include <stack>
#include<iomanip>
#include<numeric>
#include <math.h>
#include <climits>
#include<assert.h>
#include<cstring>
#include<list>

#include <bitset>
using namespace std;

template<class T1, class T2>
std::istream& operator >> (std::istream& in, pair<T1, T2>& pr) {
	in >> pr.first >> pr.second;
	return in;
}

template<class T1, class T2, class T3 >
std::istream& operator >> (std::istream& in, tuple<T1, T2, T3>& t) {
	in >> get<0>(t) >> get<1>(t) >> get<2>(t);
	return in;
}

template<class T1, class T2, class T3, class T4 >
std::istream& operator >> (std::istream& in, tuple<T1, T2, T3, T4>& t) {
	in >> get<0>(t) >> get<1>(t) >> get<2>(t) >> get<3>(t);
	return in;
}

template<class T = int>
vector<T> Read() {
	int n;
	cin >> n;
	vector<T> ret(n);
	for (int i = 0; i < n; i++) {
		cin >> ret[i];
	}
	return ret;
}
template<class T = int>
vector<T> ReadNotNum() {
	vector<T> ret;
	T tmp;
	while (cin >> tmp) {
		ret.emplace_back(tmp);
		if ('\n' == cin.get()) { break; }
	}
	return ret;
}

template<class T = int>
vector<T> Read(int n) {
	vector<T> ret(n);
	for (int i = 0; i < n; i++) {
		cin >> ret[i];
	}
	return ret;
}

template<int N = 1'000'000>
class COutBuff
{
public:
	COutBuff() {
		m_p = puffer;
	}
	template<class T>
	void write(T x) {
		int num[28], sp = 0;
		if (x < 0)
			*m_p++ = '-', x = -x;

		if (!x)
			*m_p++ = 48;

		while (x)
			num[++sp] = x % 10, x /= 10;

		while (sp)
			*m_p++ = num[sp--] + 48;
		AuotToFile();
	}
	void writestr(const char* sz) {
		strcpy(m_p, sz);
		m_p += strlen(sz);
		AuotToFile();
	}
	inline void write(char ch)
	{
		*m_p++ = ch;
		AuotToFile();
	}
	inline void ToFile() {
		fwrite(puffer, 1, m_p - puffer, stdout);
		m_p = puffer;
	}
	~COutBuff() {
		ToFile();
	}
private:
	inline void AuotToFile() {
		if (m_p - puffer > N - 100) {
			ToFile();
		}
	}
	char  puffer[N], * m_p;
};

template<int N = 1'000'000>
class CInBuff
{
public:
	inline CInBuff() {}
	inline CInBuff<N>& operator>>(char& ch) {
		FileToBuf();
		ch = *S++;
		return *this;
	}
	inline CInBuff<N>& operator>>(int& val) {
		FileToBuf();
		int x(0), f(0);
		while (!isdigit(*S))
			f |= (*S++ == '-');
		while (isdigit(*S))
			x = (x << 1) + (x << 3) + (*S++ ^ 48);
		val = f ? -x : x; S++;//忽略空格换行		
		return *this;
	}
	inline CInBuff& operator>>(long long& val) {
		FileToBuf();
		long long x(0); int f(0);
		while (!isdigit(*S))
			f |= (*S++ == '-');
		while (isdigit(*S))
			x = (x << 1) + (x << 3) + (*S++ ^ 48);
		val = f ? -x : x; S++;//忽略空格换行
		return *this;
	}
	template<class T1, class T2>
	inline CInBuff& operator>>(pair<T1, T2>& val) {
		*this >> val.first >> val.second;
		return *this;
	}
	template<class T1, class T2, class T3>
	inline CInBuff& operator>>(tuple<T1, T2, T3>& val) {
		*this >> get<0>(val) >> get<1>(val) >> get<2>(val);
		return *this;
	}
	template<class T1, class T2, class T3, class T4>
	inline CInBuff& operator>>(tuple<T1, T2, T3, T4>& val) {
		*this >> get<0>(val) >> get<1>(val) >> get<2>(val) >> get<3>(val);
		return *this;
	}
	template<class T = int>
	inline CInBuff& operator>>(vector<T>& val) {
		int n;
		*this >> n;
		val.resize(n);
		for (int i = 0; i < n; i++) {
			*this >> val[i];
		}
		return *this;
	}
	template<class T = int>
	vector<T> Read(int n) {
		vector<T> ret(n);
		for (int i = 0; i < n; i++) {
			*this >> ret[i];
		}
		return ret;
	}
	template<class T = int>
	vector<T> Read() {
		vector<T> ret;
		*this >> ret;
		return ret;
	}
private:
	inline void FileToBuf() {
		const int canRead = m_iWritePos - (S - buffer);
		if (canRead >= 100) { return; }
		if (m_bFinish) { return; }
		for (int i = 0; i < canRead; i++)
		{
			buffer[i] = S[i];//memcpy出错			
		}
		m_iWritePos = canRead;
		buffer[m_iWritePos] = 0;
		S = buffer;
		int readCnt = fread(buffer + m_iWritePos, 1, N - m_iWritePos, stdin);
		if (readCnt <= 0) { m_bFinish = true; return; }
		m_iWritePos += readCnt;
		buffer[m_iWritePos] = 0;
		S = buffer;
	}
	int m_iWritePos = 0; bool m_bFinish = false;
	char buffer[N + 10], * S = buffer;
};


class KMP
{
public:
	virtual int Find(const string& s, const string& t)
	{
		CalLen(t);
		for (int i1 = 0, j = 0; i1 < s.length(); )
		{
			for (; (j < t.length()) && (i1 + j < s.length()) && (s[i1 + j] == t[j]); j++);
			//i2 = i1 + j 此时s[i1,i2)和t[0,j)相等 s[i2]和t[j]不存在或相等
			//t[0,j)的结尾索引是j-1,所以最长公共前缀为m_vLen[j-1],简写为y 则t[0,y)等于t[j-y,j)等于s[i2-y,i2)
			if (0 == j)
			{
				i1++;
				continue;
			}
			const int i2 = i1 + j;
			j = m_vLen[j - 1];
			i1 = i2 - j;//i2不变
		}
		return -1;
	}
	//vector<int> m_vSameLen;//m_vSame[i]记录 s[i...]和t[0...]最长公共前缀,增加可调试性 部分m_vSameLen[i]会缺失
	//static vector<int> Next(const string& s)
	//{// j = vNext[i] 表示s[0,i]的最大公共前后缀是s[0,j]
	//	const int len = s.length();
	//	vector<int> vNext(len, -1);
	//	for (int i = 1; i < len; i++)
	//	{
	//		int next = vNext[i - 1];
	//		while ((-1 != next) && (s[next + 1] != s[i]))
	//		{
	//			next = vNext[next];
	//		}
	//		vNext[i] = next + (s[next + 1] == s[i]);
	//	}
	//	return vNext;
	//}

	const vector<int> CalLen(const string& str)
	{
		m_vLen.resize(str.length());
		for (int i = 1; i < str.length(); i++)
		{
			int next = m_vLen[i - 1];
			while (str[next] != str[i])
			{
				if (0 == next)
				{
					break;
				}
				next = m_vLen[next - 1];
			}
			m_vLen[i] = next + (str[next] == str[i]);
		}
		return m_vLen;
	}
protected:
	int m_c;
	vector<int> m_vLen;//m_vLen[i] 表示str[0,i]的最长公共前后缀的长度
};

template<long long MOD = 1000000007, class T1 = int, class T2 = long long>
class C1097Int
{
public:
	C1097Int(T1 iData = 0) :m_iData(iData% MOD)
	{

	}
	C1097Int(T2 llData) :m_iData(llData% MOD) {

	}
	C1097Int  operator+(const C1097Int& o)const
	{
		return C1097Int(((T2)m_iData + o.m_iData) % MOD);
	}
	C1097Int& operator+=(const C1097Int& o)
	{
		m_iData = ((T2)m_iData + o.m_iData) % MOD;
		return *this;
	}
	C1097Int& operator-=(const C1097Int& o)
	{
		m_iData = ((T2)MOD + m_iData - o.m_iData) % MOD;
		return *this;
	}
	C1097Int  operator-(const C1097Int& o)
	{
		return C1097Int(((T2)MOD + m_iData - o.m_iData) % MOD);
	}
	C1097Int  operator*(const C1097Int& o)const
	{
		return((T2)m_iData * o.m_iData) % MOD;
	}
	C1097Int& operator*=(const C1097Int& o)
	{
		m_iData = ((T2)m_iData * o.m_iData) % MOD;
		return *this;
	}
	C1097Int  operator/(const C1097Int& o)const
	{
		return *this * o.PowNegative1();
	}
	C1097Int& operator/=(const C1097Int& o)
	{
		*this /= o.PowNegative1();
		return *this;
	}
	bool operator==(const C1097Int& o)const
	{
		return m_iData == o.m_iData;
	}
	bool operator<(const C1097Int& o)const
	{
		return m_iData < o.m_iData;
	}
	C1097Int pow(T2 n)const
	{
		C1097Int iRet = (T1)1, iCur = *this;
		while (n)
		{
			if (n & 1)
			{
				iRet *= iCur;
			}
			iCur *= iCur;
			n >>= 1;
		}
		return iRet;
	}
	C1097Int PowNegative1()const
	{
		return pow(MOD - 2);
	}
	T1 ToInt()const
	{
		return ((T2)m_iData + MOD) % MOD;
	}
private:
	T1 m_iData = 0;;
};

template<class T = int>
class CDiscretize //离散化
{
public:
	CDiscretize(vector<T> nums)
	{
		sort(nums.begin(), nums.end());
		nums.erase(std::unique(nums.begin(), nums.end()), nums.end());
		m_nums = nums;
		for (int i = 0; i < nums.size(); i++)
		{
			m_mValueToIndex[nums[i]] = i;
		}
	}
	int operator[](const T value)const
	{
		auto it = m_mValueToIndex.find(value);
		if (m_mValueToIndex.end() == it)
		{
			return -1;
		}
		return it->second;
	}
	int size()const
	{
		return m_mValueToIndex.size();
	}
	vector<T> m_nums;
protected:
	unordered_map<T, int> m_mValueToIndex;
};

template<class ELE = int >
class ITreeArrSumOpe
{
public:
	virtual void Assign(ELE& dest, const ELE& src) = 0;
	virtual ELE Back(const ELE& n1, const ELE& n2) = 0;
};

template<class ELE = int >
class CTreeArrAddOpe :public ITreeArrSumOpe<ELE>
{
public:
	virtual void Assign(ELE& dest, const ELE& src) {
		dest += src;
	}
	virtual ELE Back(const ELE& n1, const ELE& n2) {
		return n1 - n2;
	}
};

template<class ELE = int, class ELEOpe = CTreeArrAddOpe<ELE> >
class CTreeArr
{
public:
	CTreeArr(int iSize) :m_vData(iSize + 1)
	{

	}
	void Add(int index, ELE value)
	{
		if ((index < 0) || (index >= m_vData.size() - 1)) { return; }
		index++;
		while (index < m_vData.size())
		{
			m_ope.Assign(m_vData[index], value);
			index += index & (-index);
		}
	}
	ELE Sum(int index)//[0...index]之和
	{
		index++;
		ELE ret = 0;
		while (index)
		{
			m_ope.Assign(ret, m_vData[index]);
			index -= index & (-index);
		}
		return ret;
	}
	ELE Sum() { return Sum(m_vData.size() - 2); }
	ELE Get(int index)
	{
		return m_ope.Back(Sum(index), Sum(index - 1));
	}
private:
	ELEOpe m_ope;
	vector<ELE> m_vData;
};
template<class INDEX_TYPE>
class CBinarySearch
{
public:
	CBinarySearch(INDEX_TYPE iMinIndex, INDEX_TYPE iMaxIndex, INDEX_TYPE tol = 1) :m_iMin(iMinIndex), m_iMax(iMaxIndex), m_iTol(tol) {}
	template<class _Pr>
	INDEX_TYPE FindFrist(_Pr pr)
	{
		auto left = m_iMin - m_iTol;
		auto rightInclue = m_iMax;
		while (rightInclue - left > m_iTol)
		{
			const auto mid = left + (rightInclue - left) / 2;
			if (pr(mid))
			{
				rightInclue = mid;
			}
			else
			{
				left = mid;
			}
		}
		return rightInclue;
	}
	template<class _Pr>
	INDEX_TYPE FindEnd(_Pr pr)
	{
		INDEX_TYPE leftInclude = m_iMin;
		INDEX_TYPE right = m_iMax + m_iTol;
		while (right - leftInclude > m_iTol)
		{
			const auto mid = leftInclude + (right - leftInclude) / 2;
			if (pr(mid))
			{
				leftInclude = mid;
			}
			else
			{
				right = mid;
			}
		}
		return leftInclude;
	}
protected:
	const INDEX_TYPE m_iMin, m_iMax, m_iTol;
};

class Solution {
public:
	int Ans(vector<pair<int, int>>& pts) {
		const int N = pts.size();
		sort(pts.begin(), pts.end());
		vector<int> ys;
		for (const auto& [x, y] : pts) {
			ys.emplace_back(y);
		}
		CDiscretize dis(ys);
		for (auto& [x, y] : pts) {
			y = dis[y];
		}
		const int M = dis.size();
		CTreeArr<int> diff1(M), diff2(M);
		for (const auto& [x, y] : pts) {
			diff2.Add(y, 1);
		}
		int ans = INT_MAX / 2;
		for (int i = 0; i < N; i++) {
			auto Check = [&](int mid) {
				const int M1 = diff1.Sum(mid);
				const int M2 = diff2.Sum(mid);
				const int M3 = i - M1;
				const int M4 = (N - i) - M2;
				return max(M1, M2) > max(M3, M4);
			};
			auto CalMax = [&](int mid) {
				const int M1 = diff1.Sum(mid);
				const int M2 = diff2.Sum(mid);
				const int M3 = i - M1;
				const int M4 = (N - i) - M2;
				return max(max(M1, M2), max(M3, M4));
			};
			int b = CBinarySearch<int>(0, M - 1).FindFrist(Check);
			ans = min(ans, CalMax(b));
			ans = min(ans, CalMax(b - 1));
			diff1.Add(pts[i].second, 1);
			diff2.Add(pts[i].second, -1);
			while ((i + 1 < N) && (pts[i].first == pts[i + 1].first)) {
				i++;
				diff1.Add(pts[i].second, 1);
				diff2.Add(pts[i].second, -1);
			}

		}
		return ans;
	}
};

int main() {
#ifdef _DEBUG
	freopen("a.in", "r", stdin);
#endif // DEBUG	
	ios::sync_with_stdio(0); cin.tie(nullptr);
	int n;
	cin >> n     ;
	auto pts = Read<pair<int,int>>(n);	
#ifdef _DEBUG		
	//printf("M=%d,K=%d",m, k);
	Out(pts, ",pts=");
	//Out(edge, ",edge=");
	/*Out(que, "que=");*/
#endif // DEBUG	
	auto res = Solution().Ans(pts);	
	cout << res << "\n";
	return 0;
}

单元测试

vector<pair<int, int>> pts;
		TEST_METHOD(TestMethod1)
		{
			pts = { {7,3},{5,5},{7,13},{3,1},{11,7},{5,3},{9,1} };
			auto res = Solution().Ans(pts);
			AssertEx(2, res);
		}

扩展阅读

我想对大家说的话
工作中遇到的问题,可以按类别查阅鄙人的算法文章,请点击《算法与数据汇总》。
学习算法:按章节学习《喜缺全书算法册》,大量的题目和测试用例,打包下载。重视操作
有效学习:明确的目标 及时的反馈 拉伸区(难度合适) 专注
闻缺陷则喜(喜缺)是一个美好的愿望,早发现问题,早修改问题,给老板节约钱。
子墨子言之:事无终始,无务多业。也就是我们常说的专业的人做专业的事。
如果程序是一条龙,那算法就是他的是睛
失败+反思=成功 成功+反思=成功

视频课程

先学简单的课程,请移步CSDN学院,听白银讲师(也就是鄙人)的讲解。
https://edu.csdn.net/course/detail/38771
如何你想快速形成战斗了,为老板分忧,请学习C#入职培训、C++入职培训等课程
https://edu.csdn.net/lecturer/6176

测试环境

操作系统:win7 开发环境: VS2019 C++17
或者 操作系统:win10 开发环境: VS2022 C++17
如无特殊说明,本算法用**C++**实现。

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