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【动态规划】【数学】【C++算法】18赛车
本文涉及知识点
状态压缩 动态规划
LeetCode:691 贴纸拼词
我们有 n 种不同的贴纸。每个贴纸上都有一个小写的英文单词。
 您想要拼写出给定的字符串 target ,方法是从收集的贴纸中切割单个字母并重新排列它们。如果你愿意,你可以多次使用每个贴纸,每个贴纸的数量是无限的。
 返回你需要拼出 target 的最小贴纸数量。如果任务不可能,则返回 -1 。
 注意:在所有的测试用例中,所有的单词都是从 1000 个最常见的美国英语单词中随机选择的,并且 target 被选择为两个随机单词的连接。
 示例 1:
 输入: stickers = [“with”,“example”,“science”], target = “thehat”
 输出:3
 解释:
 我们可以使用 2 个 “with” 贴纸,和 1 个 “example” 贴纸。
 把贴纸上的字母剪下来并重新排列后,就可以形成目标 “thehat“ 了。
 此外,这是形成目标字符串所需的最小贴纸数量。
 示例 2:
 输入:stickers = [“notice”,“possible”], target = “basicbasic”
 输出:-1
 解释:我们不能通过剪切给定贴纸的字母来形成目标“basicbasic”。
提示:
 n == stickers.length
 1 <= n <= 50
 1 <= stickers[i].length <= 10
 1 <= target.length <= 15
 stickers[i] 和 target 由小写英文单词组成
封装类
假定target串有个n1字符,数量分别为m_vMax[0] m_vMax[1]…m_vMax[n1-1]。
 对于某个stickers串,忽略target中没有的字符。target第0 1 2… 个字符在sticker的数量为vNum[0],vNum[1]…
 则第0个字符的mask为1*vNum[0]
 第1个字符的mask为(m_vMax[0]+1)*vNum[1]
 …
 第i个字符的mask为:Mul [ 0 , i − 1 ] j \Large^j_{[0,i-1]} [0,i−1]j(vMax[j]+1)*vNum[i]
 总mask 为各字符mask之和。
 注意: 无论如何vNum[i]都大于等于0,小于等于m_vMax[i]
class CMask
{
public:void Add(int iMax)//当前最高位范围[0,iMax]{m_vMax.emplace_back(iMax);m_iMaskCount *= (iMax + 1);}vector<int> FromMask(int iMask){vector<int> vNums;for (int i = 0; i < m_vMax.size(); i++){vNums.emplace_back(iMask % (m_vMax[i] + 1));iMask /= (m_vMax[i] + 1);}return vNums;}int ToMask(const vector<int>& vNums,int iMul=1){int iMask = 0;int iUnit = 1;for (int i = 0; i < m_vMax.size(); i++){iMask += iUnit * min(m_vMax[i],vNums[i]* iMul);iUnit *= (m_vMax[i]+1);}return iMask;}int MaskSubVector(int iMask, const vector<int>& vNums, const int iMul = 1){int iNewMask = 0;int iUnit = 1;for (int i = 0; i < m_vMax.size(); i++){int cur = iMask % (m_vMax[i] + 1);cur -= vNums[i] * iMul;cur = max(0, cur);iNewMask += iUnit * cur;iMask /= (m_vMax[i] + 1);iUnit *= (m_vMax[i]+1);}return iNewMask;}int NeedGroupCount(const vector<int>& need, const vector<int>& has){int iMax = 0;for (int i = 0; i < m_vMax.size(); i++){if (has[i] <= 0){continue;}iMax = max(iMax,need[i] / has[i]+ (0 != need[i] % has[i]));}return iMax;}
public:int MaskCount()const{return m_iMaskCount;}	int BitCount()const{return m_vMax.size();}
protected:int m_iMaskCount = 1;vector<int> m_vMax;
};class CStrMask : public CMask
{
public:CStrMask(const string& target){vector<int> vCount;for (const auto& ch : target){if (mCharToIndex.count(ch)){vCount[mCharToIndex[ch]]++;}else{mCharToIndex[ch] = vCount.size();vCount.emplace_back(1);}}for (const auto& cnt : vCount){CMask::Add(cnt);}}vector<int> GetVector(const string& s ){vector<int> vCharNums(m_vMax.size());for (const char& ch : s){if (mCharToIndex.count(ch)){auto& i = vCharNums[mCharToIndex[ch]];if (i < m_vMax[mCharToIndex[ch]]){i++;}				}}return vCharNums;}
protected:unordered_map<char, int> mCharToIndex;
private:void Add(int iMax) {};
};
 
动态规划
动态规划的状态表示
pre[iMask] 表示利用前i-1个贴纸,达到未完成的字符状态为iMask的消耗的最少贴纸数。1000表示无法达成。
 dp[iMask] 表示利用前i 个贴纸,达到未完成的字符状态为iMask的消耗的最少贴纸数。
动态规划的转移方程
iPreMask 当前贴纸 使用的贴纸数量 如果状态发生变化,则更新状态。
动态规划的填表顺序
对于每个合法的iPreMask,计算当前贴纸最多需要多少份。三层循环:第一层,枚举各贴纸。第二层,枚举pre各状态。第三层:枚举当前贴纸使用的数量。每次处理还要枚举各字符。
 故总时间复杂度为:O(50*2151515)
动态规划的初始状态
pre[iMaskCount-1=0 其它值为1000。
动态规划的返回值
pre[0]
代码
核心代码
class Solution {
public:int minStickers(vector<string>& stickers, string target) {CStrMask mask(target);vector<vector<int>> vMaskToCounts(mask.MaskCount());for (int i = 0; i < mask.MaskCount(); i++){vMaskToCounts[i] = mask.FromMask(i);}vector<int> vPre(mask.MaskCount(), 1000);vPre[mask.MaskCount() - 1] = 0;for (const auto s : stickers){auto vCharNums = mask.GetVector(s);vector<int> dp = vPre;//不选择for (int iPre = 0; iPre < mask.MaskCount(); iPre++){if (vPre[iPre] >= 1000){continue;}const int iSelMax = mask.NeedGroupCount(vMaskToCounts[iPre], vCharNums);for (int iSel = 1; iSel <= iSelMax; iSel++){const int iNewMask = mask.MaskSubVector(iPre, vCharNums, iSel);dp[iNewMask] = min(dp[iNewMask], vPre[iPre] + iSel);}}vPre.swap(dp);}return (vPre[0] >= 1000) ? -1 : vPre[0];}
};
 
测试用例
template<class T>
void Assert(const T& t1, const T& t2)
{assert(t1 == t2);
}template<class T>
void Assert(const vector<T>& v1, const vector<T>& v2)
{if (v1.size() != v2.size()){assert(false);return;}for (int i = 0; i < v1.size(); i++){Assert(v1[i], v2[i]);}}int main()
{vector<string> stickers;string target;{Solution sln;stickers = { "travel", "quotient", "nose", "wrote", "any" }, target = "lastwest";auto res = sln.minStickers(stickers, target);Assert(4, res);}{Solution sln;stickers = { "with", "example", "science" }, target = "thehat";auto res = sln.minStickers(stickers, target);Assert(3, res);}{Solution sln;stickers = { "notice", "possible" }, target = "basicbasic";auto res = sln.minStickers(stickers, target);Assert(-1, res);}{Solution sln;stickers = { "right", "ten", "year", "share", "period", "paper", "expect", "village", "home", "happen", "ring", "sat", "even", "afraid", "paint", "self", "range", "camp", "note", "read", "paragraph", "run", "basic", "fill", "week", "his", "star", "power", "any", "colony", "object", "free", "dark", "said", "chick", "true", "glad", "child", "room", "lost", "am", "cry", "quiet", "crease", "while", "race", "fun", "found", "dream", "once" }, target = "materialhalf";auto res = sln.minStickers(stickers, target);Assert(4, res);}{Solution sln;stickers = { "indicate","why","finger","star","unit","board","sister","danger","deal","bit","phrase","caught","if","other","water","huge","general","read","gold","shall","master","men","lay","party","grow","view","if","pull","together","head","thank","street","natural","pull","raise","cost","spoke","race","new","race","liquid","me","please","clear","could","reply","often","huge","old","nor" }, target = "fhhfiyfdcwbycma";auto res = sln.minStickers(stickers, target);Assert(9, res);}}
 
改进简洁版,性能略差
不区分dp pre,因为一个贴纸可以无限使用。无论是pre[iMask]和dp[iMask] 都可增加贴纸。
动态规划的状态表示
状态压缩:如果target第i位已经贴好,则此位为1;否则此位为0。
 dp[iMask] 已经完成iMask 消耗的最少贴纸数。
动态规划的转移方程。
对应每个mask,只需要考虑一个当前贴纸。比如: 目标串为aaa,贴纸为a。状态0只考虑一个贴纸。状态1只考虑1个贴纸,总共2个贴纸。状态3只考虑1个贴纸,总共3个贴纸。
 如果目标串有多个相同字符,只需要匹配第一字符。“???” 第一张贴纸后,变成"a??" 不需要考虑“?a?"
 方案一:第i步匹配第1个a,第j个步匹配第2个a。
 方案二:第i步匹配第2个a,第j个步匹配第1个a。
 如果方案二,能达到目标,那方案一显然也能达到目标。
 iPreMask等于iNewMask 也不用排除,因为新值比旧值大1,必定被淘汰。
class Solution {
public:int minStickers(vector<string>& stickers, string target) {const int iMaskCount = 1 << target.size();vector<int> dp(iMaskCount, 1000);dp[0] = 0;for (const auto s : stickers){int cnt1[26] = { 0 };for (const auto& ch : s){cnt1[ch - 'a']++;}for (int iPreMask = 0; iPreMask < iMaskCount; iPreMask++){int cnt[26] = { 0 };memcpy(cnt, cnt1, sizeof(cnt1));int iNewMask = iPreMask;for (int j = 0; j < target.size(); j++){if (iPreMask & (1 << j)){continue;//已经拼成}if (cnt[target[j] - 'a']){cnt[target[j] - 'a']--;iNewMask |= (1 << j);}}dp[iNewMask] = min(dp[iNewMask], dp[iPreMask] + 1);}		}return (dp.back() >= 1000) ? -1 : dp.back();}
};
 
2023年1月第一版
class Solution {
 public:
 int minStickers(vector& stickers, string target) {
 m_target = target; 
 for (auto& ch : target)
 {
 m_mTarget[ch]++;
 }
 std::unordered_set hasMask;
 hasMask.insert(0);
 std::unordered_map<int,int> preMaskNum;
 preMaskNum[0] = 0;
 for (auto& s : stickers)
 {
 std::unordered_map<char, int> mCur;
 for (auto& ch : s)
 {
 if (m_mTarget.count(ch))
 {
 mCur[ch]++;
 }
 } 
 std::unordered_map<int, int> dp = preMaskNum;
 const int iCurMask = MakeMask(mCur);
 if (hasMask.count(iCurMask))
 {
 continue;
 }
 hasMask.insert(iCurMask);
 for (const auto& preMask : preMaskNum )
 {
 std::unordered_map<char, int> mPre;
 ParseMask(mPre, preMask.first);
 bool bAdd = true;
 int iNum = preMask.second;
 while (bAdd)
 {
 bAdd = false;
 for (const auto it : mCur)
 {
 if (m_mTarget[it.first] > mPre[it.first])
 {
 bAdd = true;
 mPre[it.first] = min(m_mTarget[it.first], mPre[it.first] + mCur[it.first]);
 } 
 }
 if (bAdd)
 {
 iNum++;
 const int iMask = MakeMask(mPre);
 if (dp.count(iMask))
 { 
 dp[iMask] = min(dp[iMask], iNum);
 }
 else
 {
 dp[iMask] = iNum;
 }
 }
 }
 }
 preMaskNum.swap(dp);
 } 
 int iMaskTargt = MakeMask(m_mTarget);
 if (preMaskNum.end() == preMaskNum.find(iMaskTargt))
 {
 return -1;
 }
 return preMaskNum[iMaskTargt];
 }
 int MakeMask(const std::unordered_map<char, int>& nums)const
 {
 int iMask = 0;
 for (const auto& mm : m_mTarget )
 {
 auto it = nums.find(mm.first);
 if ((nums.end() != it) && ( it->second > 0 )) 
 {
 iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
 }
 else
 {
 iMask = iMask * (mm.second + 1);
 }
 }
 return iMask;
 }
 void ParseMask(std::unordered_map<char, int>& nums, int iMask)
 {
 int iMul = 1;
 for (auto& it : m_mTarget)
 {
 iMul *= (it.second+1);
 }
 for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
 {
 iMul /= (it->second+1);
 nums[it->first] = iMask / iMul;
 iMask %= iMul;
 } 
 }
 std::string m_target;
 std::unordered_map<char, int> m_mTarget;
 };
2023年1月第2版
class Solution {
 public:
 int minStickers(vector& stickers, string target) {
 m_target = target; 
 Init();
 vector<std::unordered_map<char, int>> mAllCharNum;
 {
 std::unordered_set hasMask;
 hasMask.insert(0);
 for (int i = stickers.size() - 1; i >= 0; i–)
 {
 std::unordered_map<char, int> mCur;
 for (auto& ch : stickers[i])
 {
 if (m_mTarget.count(ch))
 {
 mCur[ch]++;
 }
 }
 const int iCurMask = MakeMask(mCur);
 if (hasMask.count(iCurMask))
 {
 continue;
 }
 hasMask.insert(iCurMask);
 mAllCharNum.push_back(mCur);
 }
 } 
 std::unordered_set setPreMask,setHasDo;
 setPreMask.insert(m_iTargetMask);
 setHasDo.insert(m_iTargetMask);
 for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++)
 {
 std::unordered_set dp;
 for (auto& preMask : setPreMask)
 {
 std::unordered_map<char, int> mPre;
 ParseMask(mPre, preMask); 
 for (auto& mCur : mAllCharNum)
 {
 const int iSubMask = GetSubMask(mPre, mCur);
 if (0 == iSubMask)
 {
 continue;
 }
 const int iNewMask = preMask - iSubMask;
 if (setHasDo.count(iNewMask))
 {
 continue;
 }
 if (iNewMask == 0 )
 {
 return iOpeNum;
 }
 setHasDo.insert(iNewMask);
 dp.insert(iNewMask);
 }
 }
 setPreMask.swap(dp);
 vector<std::unordered_map<char, int>> mAllTmp;
 for (auto& it : setPreMask)
 {
 std::unordered_map<char, int> tmp;
 ParseMask(tmp, it);
 mAllTmp.push_back(tmp);
 }
 } 
 return -1;
 }
 int GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur)
 {
 int iSubMask = 0;
 for (auto& cur : mCur)
 {
 auto pre = mPre.find(cur.first);
 if (pre->second )
 {
 iSubMask += min(pre->second, cur.second) * m_vCharMul[cur.first-‘a’];
 }
 }
 return iSubMask;
 }
 int MakeMask(const std::unordered_map<char, int>& nums)const
 {
 int iMask = 0;
 for (const auto& mm : m_mTarget )
 {
 auto it = nums.find(mm.first);
 if ((nums.end() != it) && ( it->second > 0 )) 
 {
 iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
 }
 else
 {
 iMask = iMask * (mm.second + 1);
 }
 }
 return iMask;
 }
 void ParseMask(std::unordered_map<char, int>& nums, int iMask)
 {
 for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
 {
 const int iMul = m_vCharMul[it->first-‘a’];
 nums[it->first] = iMask / iMul;
 iMask %= iMul;
 } 
 }
 void Init()
 {
 for (auto& ch : m_target)
 {
 m_mTarget[ch]++;
 }
 m_iTargetMask = MakeMask(m_mTarget);
 int iMul = 1;
 for (auto& it : m_mTarget)
 {
 iMul *= (it.second + 1);
 }
 for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
 {
 iMul /= (it->second + 1);
 m_vCharMul[it->first - ‘a’] = iMul;
 }
 }
 std::string m_target;
 int m_iTargetMask;
 std::unordered_map<char, int> m_mTarget;
 int m_vCharMul[26] ;
 };
2023年1月第三版
class Solution {
 public:
 int minStickers(vector& stickers, string target) {
 m_target = target; 
 Init();
	 vector<std::unordered_map<char, int>> mAllCharNum;{std::unordered_set<int> hasMask;hasMask.insert(0);for (int i = stickers.size() - 1; i >= 0; i--){std::unordered_map<char, int> mCur;for (auto& ch : stickers[i]){if (m_mTarget.count(ch)){mCur[ch]++;}}const int iCurMask = MakeMask(mCur);if (hasMask.count(iCurMask)){continue;}hasMask.insert(iCurMask);mAllCharNum.push_back(mCur);}}std::unordered_set<int> setPreMask,setHasDo;setPreMask.insert(m_iTargetMask);setHasDo.insert(m_iTargetMask);for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++){std::unordered_set<int> dp;for (auto& preMask : setPreMask){std::unordered_map<char, int> mPre;ParseMask(mPre, preMask);char chFristNeedChar = 0;for (auto& it : mPre){if (it.second > 0){chFristNeedChar = it.first;break;}}for (auto& mCur : mAllCharNum){if ((0 == mCur.count(chFristNeedChar)) || (mCur[chFristNeedChar] <= 0 )){continue;}const int iSubMask = GetSubMask(mPre, mCur);if (0 == iSubMask){continue;}const int iNewMask = preMask - iSubMask;if (setHasDo.count(iNewMask)){continue;}if (iNewMask == 0 ){return iOpeNum;}setHasDo.insert(iNewMask);dp.insert(iNewMask);}}setPreMask.swap(dp);vector<std::unordered_map<char, int>> mAllTmp;for (auto& it : setPreMask){std::unordered_map<char, int> tmp;ParseMask(tmp, it); mAllTmp.push_back(tmp);}}return -1;}int GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur){int iSubMask = 0;for (auto& cur : mCur){auto pre = mPre.find(cur.first);if (pre->second ){iSubMask += min(pre->second, cur.second) * m_vCharMul[cur.first-'a'];}}return iSubMask;}int MakeMask(const std::unordered_map<char, int>& nums)const{int iMask = 0;for (const auto& mm : m_mTarget ){auto it = nums.find(mm.first);if ((nums.end() != it) && ( it->second > 0 ))			{iMask = iMask * (mm.second + 1) + min(mm.second, it->second);}else{iMask = iMask * (mm.second + 1);}}return iMask;}void ParseMask(std::unordered_map<char, int>& nums, int iMask){for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){const int iMul = m_vCharMul[it->first-'a'];nums[it->first] = iMask / iMul;iMask %= iMul;}}void Init(){for (auto& ch : m_target){m_mTarget[ch]++;}m_iTargetMask = MakeMask(m_mTarget);int iMul = 1;for (auto& it : m_mTarget){iMul *= (it.second + 1);}for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){iMul /= (it->second + 1);m_vCharMul[it->first - 'a'] = iMul;}}std::string m_target;int m_iTargetMask;std::unordered_map<char, int> m_mTarget;int m_vCharMul[26] ;
 
};
2023年1月 第4版
class CCTestHash
 {
 public:
 std::size_t operator()(const std::unordered_map<char, int>& nums) const
 {
 return MakeMask(nums);
 }
 static int MakeMask(const std::unordered_map<char, int>& nums)
 {
 int iMask = 0;
 for (const auto& mm : m_mTarget)
 {
 auto it = nums.find(mm.first);
 if ((nums.end() != it) && (it->second > 0))
 {
 iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
 }
 else
 {
 iMask = iMask * (mm.second + 1);
 }
 }
 return iMask;
 }
static void Init(){m_mTarget.clear();for (auto& ch : m_target){m_mTarget[ch]++;}m_iTargetMask = MakeMask(m_mTarget);int iMul = 1;for (auto& it : m_mTarget){iMul *= (it.second + 1);}for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){iMul /= (it->second + 1);m_vCharMul[it->first - 'a'] = iMul;}}static std::string m_target;
static int m_iTargetMask;
static std::unordered_map<char, int> m_mTarget;
static int m_vCharMul[26];
 
};
 std::string CCTestHash::m_target;
 int CCTestHash::m_iTargetMask;
 std::unordered_map<char, int> CCTestHash::m_mTarget;
 int CCTestHash::m_vCharMul[26];
class Solution {
 public:
 int minStickers(vector& stickers, string target) {
 CCTestHash::m_target = target;
 CCTestHash::Init();
	 std::unordered_set<std::unordered_map<char, int>, CCTestHash> hasMask;{			 for (int i = stickers.size() - 1; i >= 0; i--){std::unordered_map<char, int> mCur;for (auto& ch : stickers[i]){if (m_testHask.m_mTarget.count(ch)){mCur[ch]++;}}if (0 == mCur.size()){continue;}if (hasMask.count(mCur)){continue;}hasMask.insert(mCur);}}std::unordered_set<std::unordered_map<char, int>, CCTestHash> setPreMask, setHasDo;setPreMask.insert(CCTestHash::m_mTarget);setHasDo.insert(CCTestHash::m_mTarget);for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++){std::unordered_set<std::unordered_map<char, int>, CCTestHash> dp;for (auto& mPre : setPreMask){char chFristNeedChar = 0;for (auto& it : mPre){if (it.second > 0){chFristNeedChar = it.first;break;}}for (auto& mCur : hasMask){if ((0 == mCur.count(chFristNeedChar)) || (mCur.find(chFristNeedChar)->second <= 0 )){continue;}auto newMask = GetSubMask(mPre, mCur);if (setHasDo.count(newMask)){continue;}if (CCTestHash::MakeMask(newMask) == 0){return iOpeNum;}setHasDo.insert(newMask);dp.insert(newMask);}}setPreMask.swap(dp);}return -1;}std::unordered_map<char, int> GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur){std::unordered_map<char, int> vRet;for (auto& pre : mPre){auto cur = mCur.find(pre.first);if (mCur.end() != cur){vRet[pre.first] = max(0, pre.second - cur->second);}else{vRet[pre.first] = pre.second;}}return vRet;}/*int MakeMask(const std::unordered_map<char, int>& nums)const{int iMask = 0;for (const auto& mm : m_mTarget ){auto it = nums.find(mm.first);if ((nums.end() != it) && ( it->second > 0 ))			{iMask = iMask * (mm.second + 1) + min(mm.second, it->second);}else{iMask = iMask * (mm.second + 1);}}return iMask;}void ParseMask(std::unordered_map<char, int>& nums, int iMask){for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){const int iMul = m_vCharMul[it->first-'a'];nums[it->first] = iMask / iMul;iMask %= iMul;}}*/CCTestHash m_testHask;
 
};

扩展阅读
视频课程
有效学习:明确的目标 及时的反馈 拉伸区(难度合适),可以先学简单的课程,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
相关下载
想高屋建瓴的学习算法,请下载《喜缺全书算法册》doc版
 https://download.csdn.net/download/he_zhidan/88348653
| 我想对大家说的话 | 
|---|
| 闻缺陷则喜是一个美好的愿望,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 | 
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。

