├── LICENSE
├── README.md
├── homework
├── MIT Dynamic Programming II.pdf
├── homework_4_problem.pdf
├── homework_5_problem.pdf
├── hw4_solution.md
├── hw4_solution.pdf
├── hw5_solution.md
└── hw5_solution.pdf
├── 实验1-棋盘覆盖
├── Chessboard.cpp
└── 实验1报告.pdf
├── 实验2-矩阵连乘问题
├── MatrixMulti.cpp
├── 实验2、矩阵连乘问题.doc
└── 实验2报告.pdf
├── 实验3-最长公共子序列
├── LCS.cpp
├── 实验3、最长公共子序列.doc
└── 实验3报告.pdf
├── 实验4-哈夫曼编码
├── Huffman.cpp
├── 实验4、哈夫曼编码.doc
└── 实验4报告.pdf
├── 实验5-Dijkstra算法
├── Dijkstra.cpp
├── 实验5、Dijkstra算法.doc
└── 实验5报告.pdf
├── 实验6-跳马问题
├── Horse.cpp
├── 实验6、跳马问题.doc
└── 实验6报告.pdf
└── 实验7-装载问题
├── Load.cpp
├── 实验7、装载问题.doc
└── 实验7报告.pdf
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573 | option of following the terms and conditions either of that numbered
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623 | How to Apply These Terms to Your New Programs
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650 | Also add information on how to contact you by electronic and paper mail.
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652 | If the program does terminal interaction, make it output a short
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660 | The hypothetical commands `show w' and `show c' should show the appropriate
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664 | You should also get your employer (if you work as a programmer) or school,
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671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
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/README.md:
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1 | # algorithm
2 | ### SHU算法设计与分析课程实验
3 | ### 含代码实现与报告
4 | ### 题目描述见word文档
5 | ### 报告里对解法作了简单陈述
6 |
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1 | ## 算法作业4
2 |
3 | ### 第1题 最大m子段和问题
4 |
5 | 定义`dp[i][j]`为已经分了 j 段,且最后一个数字下标为 i 的最大结果
6 |
7 | 考虑两种情况的转移
8 |
9 | - 从该数字开始,开启一个新子段
10 | - 该数字加入前面的值最大的最后一个子段
11 |
12 | **时间复杂度分析**:程序主体复杂度上限为状态转移的for循环,第一层执行次数为m,第二层执行次数为n,所以复杂度为O(m*n)
13 |
14 | ```c++
15 | const int N=5e3+10,inf=-1e9;
16 | int n,m;
17 | int dp[N][N],a[N];
18 | void solve(){
19 | for (int i=1; i<=m; i++) {
20 | for (int j=1; j<=n; j++) {
21 | dp[j][i]=inf;
22 | }
23 | }
24 | int ans=inf;
25 | for (int i=1; i<=m; i++) {
26 | int mx=inf;
27 | for (int j=1; j<=n; j++) {
28 | dp[j][i]=dp[j-1][i]+a[j];//情况1
29 | if (j>=i) {
30 | mx=max(dp[j-1][i-1],mx);
31 | dp[j][i]=max(dp[j][i],mx+a[j]);//情况2
32 | }
33 | }
34 | }
35 | for (int i=1; i<=n; i++) {
36 | ans=max(ans,dp[i][m]);//所有a[i]结尾的子序列且分了m段中的最大值
37 | }
38 | }
39 | ```
40 |
41 | ### 第 2 题 交替硬币游戏
42 |
43 | 采用记忆化搜索的形式进行动态规划,定义`dp[i][j]`为对于区间i~j的最大价值,那么最后`dp[1][n]`即为先手所能取得的最大值,若该最大值比后手值大,则决定先手,否则后手
44 |
45 | 考虑状态转移,对于当前i~j的区间,我方有两种选择,即拿走最左边的或拿走最右边的,对方也可以选择拿走最左边的或拿走最右边的,总共有四种转移的情况,对四种值取最大值即位当前状态的最大值。
46 |
47 | **时间复杂度分析**:因每个状态计算时,从它的四个子状态取最大值转移过来,对于相同的状态,采用了记忆化避免重复计算,所以时间复杂度就是状态总数,即O(n^2^)
48 |
49 | ```c++
50 | int n;
51 | int dp[N][N],v[N];
52 | int dfs(int l,int r){
53 | int &val=dp[l][r];
54 | if (val!=-1) {
55 | return val;
56 | }
57 | if (l==r) {
58 | return val=v[l];
59 | }
60 | if (l>r) {
61 | return 0;
62 | }
63 | int mx=0;
64 | mx=max({v[l]+dfs(l+1, r-1),v[l]+dfs(l+2, r),v[r]+dfs(l+1, r-1),v[r]+dfs(l, r-2)});
65 | return val=mx;
66 | }
67 | void solve(){
68 | memset(dp, -1, sizeof dp);
69 | int sum=0;
70 | for (int i=1; i<=n; i++) {
71 | sum+=v[i];
72 | }
73 | int first=dfs(1,n);
74 | int second=sum-first;
75 | if (first>second) {
76 | cout<<"先手";
77 | }
78 | else cout<<"后手";
79 | }
80 | ```
81 |
82 | ### 第3题 编辑距离
83 |
84 | 定义`dp[i][j]`为将a中1-i的子串变成b中1-j的子串的最小操作次数
85 |
86 | 初始化:
87 |
88 | `dp[0][i]`如果a初始长度就是0,那么只能用插入操作让它变成b
89 | `dp[i][0]`同样地,如果b的长度是0,那么a只能用删除操作让它变成b
90 |
91 | 状态转移:
92 |
93 | - a[i]删掉之后a[1-i]和b[1-j]匹配,所以之前要先做到a[1-(i-1)]和b[1-j]匹配,
94 |
95 | 所以`dp[i][j]=dp[i-1][j]+1`
96 |
97 | - 插入之后a[i]与b[j]完全匹配,所以插入的就是b[j],那填之前a[1-i]和b[1-(j-1)]匹配
98 |
99 | `dp[i][j]=dp[i][j-1]+1`
100 |
101 | - 把a[i]改成b[j]之后想要a[1-i]与b[1-j]匹配,那么修改这一位之前,a[1-(i-1)]应该与b[1-(j-1)]匹配`dp[i][j]=dp[i-1][j-1] + 1`
102 |
103 | 但是如果本来a[i]与b[j]这一位上就相等,那么不用改,即`dp[i][j]=dp[i-1][j-1]`
104 |
105 | **时间复杂度分析**:分析程序主体代码可知,复杂度瓶颈在于计算所有的状态,而对于每一个状态的计算,它可以用三种之前的状态转移过来,该转移是近似O(1)的,所以总时间复杂度是O(nm)
106 |
107 | ```c++
108 | string a,b;
109 | void solve(){
110 | n=a.size();
111 | m=b.size();
112 | for(int i=0,j=0;j<=m;j++) dp[i][j]=j;//a为空,只用插入操作
113 | for(int i=0,j=0;i<=n;i++) dp[i][j]=i;//b为空,只用删除操作
114 | for (int i=1; i<=n; i++) {
115 | for (int j=1; j<=m; j++) {
116 | dp[i][j]=min(dp[i-1][j]+1,dp[i][j-1]+1);
117 | if (a[i-1]==b[j-1]) {
118 | dp[i][j]=min(dp[i-1][j-1],dp[i][j]);
119 | }
120 | else dp[i][j]=min(dp[i-1][j-1]+1,dp[i][j]);
121 | }
122 | }
123 | cout<width) {
24 | return inf;
25 | }
26 | return pow((width-len), 3);
27 | }
28 | void solve(){
29 | memset(dp, 0x3f, sizeof dp);
30 | dp[n+1]=0;
31 | for (int i=n; i>=1; i--) {
32 | for (int j=i+1; j<=n+1; j++) {
33 | if (dp[i]>n;
64 | for (int i=1; i<=n; i++) {
65 | cin>>s[i]>>f[i];
66 | }
67 | vector> v;
68 | for (int i=1; i<=n; i++) {
69 | v.push_back({s[i],1});
70 | v.push_back({f[i],0});
71 | }
72 | sort(v.begin(), v.end());
73 | int mx=0,cnt=0;
74 | for (auto [x,id]: v) {
75 | if (id==0) {
76 | cnt--;
77 | }
78 | else cnt++;
79 | mx=max(mx,cnt);
80 | }
81 | cout<`来维护,用`upper_bound()`找到大于当前数的第一个,在它之前的则为小于等于它最大的(若它前面已经没有元素,则代表分配失败)。时间复杂度O(nlogn),所以总时间复杂度是O(nlogn)
91 |
92 | ```c++
93 | const int N=2e5+10;
94 | int n,pos[N];
95 | set s;
96 | struct node{
97 | int ddl;
98 | int penalty,id;
99 | bool operator < (const node &b)const{
100 | if (penalty==b.penalty) {
101 | return ddlb.penalty;
104 | }
105 | }task[N];
106 | void align(int x){
107 | int dead=task[x].ddl;
108 | auto it=s.upper_bound(dead);
109 | if (it==s.begin()) {
110 | return;
111 | }
112 | it=prev(it);
113 | pos[x]=*it;
114 | s.erase(it);
115 | }
116 |
117 | void solve(){
118 | cin>>n;
119 | for (int i=1; i<=n; i++) {
120 | s.insert(i);
121 | }
122 | for (int i=1; i<=n; i++) {
123 | cin>>task[i].ddl;
124 | task[i].id=i;
125 | }
126 | for (int i=1; i<=n; i++) {
127 | cin>>task[i].penalty;
128 | }
129 | sort(task+1, task+1+n);
130 | memset(pos, -1, sizeof pos);
131 | for (int i=1; i<=n; i++) {
132 | align(i);
133 | }
134 | int ans=0;
135 | for (int i=1; i<=n; i++) {
136 | if (pos[i]==-1) {
137 | ans+=task[i].penalty;
138 | cout<<"第"<
2 | using namespace std;
3 | int board[1100][1100];
4 | int id = 1;
5 |
6 | void fillboard(int x,int y,int tx,int ty,int size)//(x,y)为当前棋盘的左上角,(tx,ty)为特殊方格所在的坐标
7 | //size为当前棋盘的宽度
8 | {
9 | if(size==1) return ;//递归边界
10 | int t=id++;//骨牌号
11 | int len=size/2;//偏离距离
12 | //覆盖左上角子棋盘
13 | if(tx=y+len)
23 | fillboard(x,y+len,tx,ty,len);//特殊方格在此棋盘中
24 | else //此棋盘中无特殊方格,用t号L型骨牌覆盖左下角
25 | {
26 | board[x+len-1][y+len]=t;
27 | //覆盖其余方格
28 | fillboard(x,y+len,x+len-1,y+len,len);
29 | }
30 | //覆盖左下角子棋盘
31 | if(tx>=x+len && ty=x+len && ty>=y+len)//特殊方格在此棋盘中
41 | fillboard(x+len,y+len,tx,ty,len);
42 | else //此棋盘中无特殊方格,用t号L型骨牌覆盖左上角
43 | {
44 | board[x+len][y+len]=t;
45 | //覆盖其余方格
46 | fillboard(x+len,y+len,x+len,y+len,len);
47 | }
48 | }
49 |
50 | int main()
51 | {
52 | int i,j;
53 | int k,cas=0;
54 | while(cin>>k)
55 | {
56 | cas++;
57 | id=1;
58 | int size = 1<>x>>y;
61 | board[x][y]=0;
62 | fillboard(1, 1, x, y, size);
63 | cout<<"Case "<
2 | using namespace std;
3 | const int N=105;
4 | int n,dp[N][N],pos[N][N],p[N];
5 | const int inf=(1<<30);
6 | int chain(int l,int r)
7 | {
8 | int &v=dp[l][r];
9 | if(v>0)return v;
10 | if(l==r)return 0;
11 | int mn=inf;
12 | pos[l][r]=l;//pos[l][r]表示矩阵l到r在pos[l][r]后分开
13 | for(int k=l;k>n) {
44 | memset(dp, 0, sizeof dp);
45 | cas++;
46 | for(int i=0;i<=n;i++)
47 | cin>>p[i];
48 | cout<<"Case "<
2 | #ifdef DEBUG
3 | #define debug(x) cerr<<__LINE__<<"行 [" << #x << "] = "< pii;
9 | int n,m;
10 | const int N=210,M=70,NPOS=-1;//NPOS为数组默认值,M为字母表长度,N为序列长度
11 | int func(char ch){
12 | if (ch>='a'&&ch<='z') {
13 | return ch-'a';
14 | }
15 | if (ch>='A'&&ch<='Z') {
16 | return ch-'A'+26;
17 | }
18 | if (ch>='0'&&ch<='9') {
19 | return ch-'0'+52;
20 | }
21 | return 0;
22 | }
23 | char func2(int x){
24 | if (x>=0&&x<=25) {
25 | return 'a'+x;
26 | }
27 | if (x>25&&x<=51) {
28 | return 'A'+x-26;
29 | }
30 | if (x>=52) {
31 | return '0'+x-52;
32 | }
33 | return '0';
34 | }
35 | class SequenceAM {// 序列自动机 Sequence Auto Machine
36 | public:
37 | int nxt[N][M]; // 核心数组,代表从第i个位置开始,字符j出现的第一个位置
38 | string s; // 当前串
39 | void init() { // 初始化序列自动机
40 | fill(nxt[s.size()], nxt[s.size()]+M, NPOS);
41 | for (int i=(int)s.size()-1; i>=0; i--) { // 倒序初始化
42 | memcpy(nxt[i], nxt[i+1], sizeof nxt[i]);
43 | nxt[i][func(s[i])]=i+1; // 更新数组
44 | }
45 | }
46 | };
47 | SequenceAM a,b;
48 | int dp[N][N],len,id,cnt,path[N][N];
49 | string ans,s1,s2;
50 | void dfs(int x,int y){
51 | if (ans.size()==len) {
52 | cnt++;
53 | for (auto x: ans) {
54 | cout<=dp[i][j-1]){
74 | dp[i][j]=dp[i-1][j];
75 | path[i][j]=1;
76 | }
77 | else{
78 | dp[i][j]=dp[i][j-1];
79 | path[i][j]=2;
80 | }
81 | }
82 | }
83 | return dp[n][m];
84 | }
85 | void solve(){
86 | memset(dp, 0, sizeof dp);
87 | memset(path, 0, sizeof path);
88 | cnt=0;
89 | id++;
90 | cin>>n>>m;
91 | s1.resize(n);
92 | s2.resize(m);
93 | for (auto &x: s1) {
94 | cin>>x;
95 | }
96 | for (auto &x: s2) {
97 | cin>>x;
98 | }
99 | len=cal_len();
100 | cout<<"Case "<>t;
129 | while (t--) {
130 | solve();
131 | }
132 | return 0;
133 | }
134 |
135 |
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/实验4-哈夫曼编码/Huffman.cpp:
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1 | #include
2 | using namespace std;
3 | const int N = 110;
4 | int cas=1;
5 | struct node{
6 | int val,id;
7 | vector leaves;
8 | bool operator < (const node & b) const{ //双关键字排序
9 | if(val==b.val) return id < b.id;
10 | return val > b.val;
11 | }
12 | }tr[N];
13 | void solve(){
14 | int n;
15 | cin>>n;
16 | vector res(N);
17 | priority_queue heap;
18 | for(int i=1,w;i<=n;++i){
19 | node tmp;
20 | cin>>w;
21 | tr[i].val = w;
22 | tmp.val = w;
23 | tmp.id = i;
24 | tmp.leaves.push_back(i);
25 | heap.push(tmp); //初始将每个结点视作子树
26 | }
27 | int idx = n+1;
28 | while(!heap.empty()){
29 | node r = heap.top();
30 | heap.pop();
31 | if(heap.empty())
32 | break;
33 | node l = heap.top();
34 | heap.pop(); //取出权值最小的两个子树
35 | node t;
36 | t.val = r.val + l.val; //合并权值
37 | t.id = idx++;
38 | for(int i=0;i<(int)r.leaves.size();++i){//右子树
39 | int id = r.leaves[i];
40 | res[id].push_back('1');
41 | t.leaves.push_back(id);//把叶子结点加到新合成的节点中
42 | }
43 | for(int i=0;i < (int)l.leaves.size(); ++i){//左子树
44 | int id = l.leaves[i];
45 | res[id].push_back('0');
46 | t.leaves.push_back(id);
47 | }
48 | heap.push(t);
49 | }
50 | cout<<"Case "<>T;
60 | while(T--){
61 | solve();
62 | }
63 | return 0;
64 | }
65 |
66 |
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/实验4-哈夫曼编码/实验4、哈夫曼编码.doc:
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/实验4-哈夫曼编码/实验4报告.pdf:
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/实验5-Dijkstra算法/Dijkstra.cpp:
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1 | #include
2 | using namespace std;
3 | typedef pair pii;
4 | const int N=2e5+10;
5 | int n,m,dist[N],pre[N],cnt[N];//dist数组记录距离 pre数组记录路径前一个点 cnt数组记录路径上边的数量
6 | vector h[N];
7 |
8 | bool cmp(int x,int y){//比较到达x和y的路径字典序
9 | vector a,b;
10 | a.push_back(x);
11 | b.push_back(y);
12 | while (pre[a.back()]) {//把前面的节点都存入vector中比较
13 | a.push_back(pre[a.back()]);
14 | b.push_back(pre[b.back()]);
15 | }
16 | //路径是从后往前得到的,所以反转之后比较
17 | reverse(a.begin(), a.end());
18 | reverse(b.begin(), b.end());
19 | for (int i=0; i<(int)a.size(); i++) {
20 | if (a[i]==b[i]) {//节点相等则继续比较
21 | continue;
22 | }
23 | if (a[i],greater> heap;
36 | heap.push({0,st});
37 | dist[st]=0;
38 | cnt[st]=0;
39 | while (heap.size()) {
40 | auto [distance,cur]=heap.top();
41 | heap.pop();
42 | for (auto [x,w]: h[cur]) {
43 | if (distance+w>dist[x]) {
44 | continue;//路径长度更大则不用更新
45 | }
46 | if (distance+wcnt[cur]+1) {//如果路段数更少,则更新
58 | heap.push({dist[x],x});
59 | pre[x]=cur;
60 | cnt[x]=cnt[cur]+1;
61 | continue;
62 | }
63 | //路段数相等,比较路径节点字典序
64 | if (cmp(cur,pre[x])) {
65 | heap.push({dist[x],x});
66 | pre[x]=cur;
67 | }
68 | }
69 | }
70 | if (dist[ed]==0x3f3f3f3f) {
71 | return -1;
72 | }
73 | return dist[ed];
74 | }
75 |
76 | void printsfp(int ed){
77 | stack st;
78 | st.push(ed);
79 | while (pre[st.top()]!=0) {
80 | st.push(pre[st.top()]);
81 | }
82 | while (st.size()) {
83 | cout<";
87 | }
88 | }
89 | }
90 |
91 | int main(){
92 | int cas=1;
93 | while (cin>>n) {
94 | for (int i=1; i<=n; i++) {
95 | for (int j=1; j<=n; j++) {
96 | int w;
97 | cin>>w;
98 | if (w!=-1) {
99 | h[i].push_back({j,w});
100 | }
101 | }
102 | }
103 | int st,ed;
104 | cin>>st>>ed;
105 | cout<<"Case "<"<
2 | using namespace std;
3 | const int N=1e3+10;
4 | int n=8;
5 | int dx[8]={1,1,2,2,-1,-1,-2,-2},dy[8]={2,-2,1,-1,2,-2,1,-1};
6 | int dist[N][N];
7 | bool state[N][N];
8 | int solve(int x,int y,int ex,int ey){
9 | queue> q;
10 | q.push({x,y});
11 | memset(dist, -1, sizeof dist);
12 | memset(state, 0, sizeof state);
13 | dist[x][y]=0;
14 | state[x][y]=true;
15 | while (q.size()) {
16 | auto [x2,y2]=q.front();
17 | q.pop();
18 | for (int i=0; i<8; i++) {
19 | int tx=x2+dx[i],ty=y2+dy[i];
20 | if (tx<1||tx>n||ty<1||ty>n||state[tx][ty]) {
21 | continue;
22 | }
23 | state[tx][ty]=true;
24 | q.push({tx,ty});
25 | dist[tx][ty]=dist[x2][y2]+1;
26 | }
27 | }
28 | return dist[ex][ey];
29 | }
30 | int main()
31 | {
32 | ios::sync_with_stdio(false);
33 | cin.tie(nullptr);
34 | string st,ed;
35 | while (cin>>st) {
36 | cin>>ed;
37 | int sx,sy,ex,ey;
38 | sx=st[1]-'0';
39 | sy=st[0]-'a'+1;
40 | ex=ed[1]-'0';
41 | ey=ed[0]-'a'+1;
42 | int dist=solve(sx,sy,ex,ey);
43 | cout<"<
2 | using namespace std;
3 | const int N=30;
4 | int n,w[N],c1,c2,sum;
5 | int bestw;//第一艘船能装的最大装载重量
6 | string best,cur;//最佳分配方案 当前分配方案
7 | void dfs(int u,int curw){
8 | if (u==n+1) {//已经分配完
9 | if (sum-curw>c2) {
10 | return;//剩余货物第二艘船装不下 不合法的装配方案
11 | }
12 | if (curw>bestw) {
13 | bestw=curw;
14 | best=cur;
15 | }
16 | if (curw==bestw&&cur>best) {//如果存在多种最大的方案 选择字典序更大的
17 | best=cur;
18 | }
19 | return;
20 | }
21 | if (curw+w[u]<=c1) {
22 | cur[u]='1';//能选则选上该货物
23 | dfs(u+1, curw+w[u]);
24 | cur[u]='0';//回溯时恢复现场
25 | }
26 | dfs(u+1, curw);//不选该货物
27 | }
28 |
29 | int main(){
30 | int cas=1;
31 | while (cin>>n) {
32 | best.resize(n+1, '0');
33 | cur.resize(n+1, '0');
34 | sum=0;
35 | bestw=0;
36 | for (int i=1; i<=n; i++) {
37 | cin>>w[i];
38 | sum+=w[i];
39 | }
40 | cin>>c1>>c2;
41 | dfs(1,0);
42 | cout<<"Case "<