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以下数据结构均采用 ll 作为值类型，应用时根据需求调整。
typedef long long ll;
const ll INF = 1e9; //表示（值）正无穷，且两个正无穷相加不会溢出
const int NPOS = -1; //表示（下标）不存在
离散化
在 vector 基础上的离散化，使用 push_back()向其中插值，init()排序并离散化，ask 查询离散化之后的值，at/[]运算符查离散前的值。
struct Ranker : vector<ll>
{
void init() { sort(begin(), end()), resize(unique(begin(), end()) - begin()); }
int ask(ll x) const { return lower_bound(begin(), end(), x) - begin(); }
};
并查集
struct UnionfindSet : vector<int>
{
UnionfindSet(int n) : vector<int>(n)
{
for (int i = 0; i < n; ++i)
at(i) = i;
}
void merge(int u, int w)
{
if (w = ask(w), u = ask(u), w != u)
at(w) = u;
}
int ask(int u) { return at(u) != u ? at(u) = ask(at(u)) : u; }
};
单调队列和单调栈
每次取队尾就是单调栈，取队头就是单调队列。
typedef pair<ll, int> pli;
struct Monotone : deque<pli>
{
void push(const pli &p, int k)
{
while (!empty() && back().first >= p.first)
pop_back();
for (push_back(p); p.second - front().second >= k;)
pop_front();
}
};
ST 表
$O(n\log n)$预处理，$O(1)$求静态区间最小值。
/*
//可选优化
#define log2(n) LOG2[n]
struct Log : vector<ll>
{
Log(int N, ll E) : vector<ll>(N, -1)
{
for (int i = 1; i < N; ++i)
at(i) = at(i / E) + 1;
}
} LOG2(N, 2);
*/
struct SparseTable
{
vector<vector<ll>> f;
SparseTable(const vector<ll> &a) : f(log2(a.size()) + 1, a)
{
for (int k = 0; k + 1 < f.size(); ++k)
for (int i = 0; i + (1 << k) < a.size(); ++i)
f[k + 1][i] = min(f[k][i], f[k][i + (1 << k)]);
}
ll ask(int l, int r)
{
int k = log2(r - l + 1);
return min(f[k][l], f[k][r + 1 - (1 << k)]);
}
};
树状数组
模板中 Base 是对应的基础版本，支持单点修改区间查询。
一维
struct Fenwick
{
struct BaseFenwick
{
vector<ll> v;
BaseFenwick(int n) : v(n, 0) {}
void add(int x, ll w)
{
for (; x < v.size(); x += x & -x)
v[x] += w;
}
ll ask(int x)
{
ll ans = 0;
for (; x; x -= x & -x)
ans += v[x];
return ans;
}
};
pair<BaseFenwick, BaseFenwick> p;
Fenwick(int n) : p(n, n) {}
void add(int x, ll w) { p.first.add(x, w), p.second.add(x, x * w); }
void add(int l, int r, ll w) { add(l, w), add(r + 1, -w); }
ll ask(int x) { return (x + 1) * p.first.ask(x) - p.second.ask(x); }
ll ask(int l, int r) { return ask(r) - ask(l - 1); }
};
二维
高维的数据结构只要每一维维护低一维的数据（树套树）即可。其余数据结构亦同理。
struct Fenwick2
{
struct BaseFenwick2
{
vector<Fenwick> v;
BaseFenwick2(int r, int c) : v(r, c) {}
void add(int x, int b, int t, ll w)
{
for (; x < v.size(); x += x & -x)
v[x].add(b, t, w);
}
ll ask(int x, int b, int t)
{
ll ans = 0;
for (; x; x -= x & -x)
ans += v[x].ask(b, t);
return ans;
}
};
pair<BaseFenwick2, BaseFenwick2> p;
Fenwick2(int r, int c) : p(BaseFenwick2(r, c), BaseFenwick2(r, c)) {}
void add(int x, int b, int t, ll w) { p.first.add(x, b, t, w), p.second.add(x, b, t, x * w); }
void add(int l, int b, int r, int t, ll w) { add(l, b, t, w), add(r + 1, b, t, -w); } //(l,b)~(r,t)
ll ask(int x, int b, int t) { return (x + 1) * p.first.ask(x, b, t) - p.second.ask(x, b, t); }
ll ask(int l, int b, int r, int t) { return ask(r, b, t) - ask(l - 1, b, t); }
};
动态开点线段树
使用示例，支持区间线性变换、区间查询（最大值最小值区间和）。
这样写改可持久化也很方便，只要改down函数为每次都新建节点即可，示例。
struct SegmentTree
{
struct Seg
{
int l, r;
ll min, max, sum;
void upd(ll mul, ll add) { min = min * mul + add, max = max * mul + add, sum = sum * mul + add * (r - l + 1); }
friend Seg operator+(const Seg &lc, const Seg &rc) { return {lc.l, rc.r, std::min(lc.min, rc.min), std::max(lc.max, rc.max), lc.sum + rc.sum}; }
};
struct Node : Seg
{
int lc, rc;
ll mul, add;
};
vector<Node> v;
SegmentTree(int l, int r) { build(l, r); }
void build(int l, int r)
{
int rt = v.size();
v.push_back({});
v[rt].Seg::operator=({l, r, 0, 0, 0});
v[rt].lc = v[rt].rc = NPOS;
v[rt].mul = 1, v[rt].add = 0;
//if (l < r) //动态开点的时候注释掉本行和下一行
//down(rt), v[rt].Seg::operator=(v[v[rt].lc] + v[v[rt].rc]);
}
void down(int rt)
{
int m = v[rt].l + (v[rt].r - v[rt].l >> 1);
if (v[rt].lc == NPOS)
v[rt].lc = v.size(), build(v[rt].l, m);
//else //非可持久化的时候注释掉本行和下一行
//v.push_back(v[v[rt].lc]), v[rt].lc = v.size() - 1;
if (v[rt].rc == NPOS)
v[rt].rc = v.size(), build(m + 1, v[rt].r);
//else //非可持久化的时候注释掉本行和下一行
//v.push_back(v[v[rt].rc]), v[rt].rc = v.size() - 1;
upd(v[v[rt].lc].l, v[v[rt].lc].r, v[rt].mul, v[rt].add, v[rt].lc);
upd(v[v[rt].rc].l, v[v[rt].rc].r, v[rt].mul, v[rt].add, v[rt].rc);
v[rt].mul = 1, v[rt].add = 0;
}
void upd(int l, int r, ll mul, ll add, int rt = 0)
{
if (l <= v[rt].l && v[rt].r <= r)
return v[rt].mul *= mul, v[rt].add = v[rt].add * mul + add, v[rt].upd(mul, add);
down(rt);
if (r <= v[v[rt].lc].r)
upd(l, r, mul, add, v[rt].lc);
else if (l >= v[v[rt].rc].l)
upd(l, r, mul, add, v[rt].rc);
else
upd(l, v[v[rt].lc].r, mul, add, v[rt].lc), upd(v[v[rt].rc].l, r, mul, add, v[rt].rc);
v[rt].Seg::operator=(v[v[rt].lc] + v[v[rt].rc]);
}
Seg ask(int l, int r, int rt = 0)
{
if (l <= v[rt].l && v[rt].r <= r)
return v[rt];
down(rt);
if (r <= v[v[rt].lc].r)
return ask(l, r, v[rt].lc);
if (l >= v[v[rt].rc].l)
return ask(l, r, v[rt].rc);
return ask(l, v[v[rt].lc].r, v[rt].lc) + ask(v[v[rt].rc].l, r, v[rt].rc);
}
};
无旋 Treap
按子树大小分裂
struct FhqTreap
{
struct Node
{
int ch[2], siz, rev;
ll key, val, min, add;
void upd(ll v, int r)
{
val += v, min += v, add += v;
if (r)
rev ^= 1, swap(ch[0], ch[1]);
}
};
vector<Node> v;
int root;
FhqTreap() : v(1), root(0) {}
void down(int k)
{
if (!k)
return;
for (int i = 0, *ch = v[k].ch; i < 2; ++i)
if (ch[i])
v[ch[i]].upd(v[k].add, v[k].rev);
v[k].add = v[k].rev = 0;
}
void up(int k)
{
if (!k)
return;
v[k].siz = 1, v[k].min = v[k].val;
for (int i = 0, *ch = v[k].ch; i < 2; ++i)
if (ch[i])
v[k].siz += v[ch[i]].siz, v[k].min = min(v[k].min, v[ch[i]].min);
}
int merge(int a, int b)
{
if (!a || !b)
return a + b;
if (v[a].key < v[b].key)
return down(a), v[a].ch[1] = merge(v[a].ch[1], b), up(a), a;
return down(b), v[b].ch[0] = merge(a, v[b].ch[0]), up(b), b;
}
void split(int a, int s, int &l, int &r)
{
if (!s)
l = 0, r = a;
else if (v[v[a].ch[0]].siz < s)
down(a), split(v[a].ch[1], s - v[v[a].ch[0]].siz - 1, v[a].ch[1], r), up(l = a);
else
down(a), split(v[a].ch[0], s, l, v[a].ch[0]), up(r = a);
}
void push_back(ll d) { v.push_back(Node{{0, 0}, 1, 0, rand(), d, d, d}), root = merge(root, v.size() - 1); }
void insert(int x, ll d)
{
v.push_back(Node{{0, 0}, 1, 0, rand(), d, d, d});
int a, b, c;
split(root, x - 1, a, b), root = merge(merge(a, v.size() - 1), b);
}
void erase(int x)
{
int a, b, c;
split(root, x, a, b), split(a, x - 1, a, c), root = merge(a, b);
}
Node ask(int l, int r)
{
int a, b, c;
split(root, r, b, c), split(b, l - 1, a, b);
Node ret = v[b];
return root = merge(merge(a, b), c), ret;
}
void upd(int l, int r, ll add, int rev)
{
int a, b, c;
split(root, r, b, c), split(b, l - 1, a, b), v[b].upd(add, rev), root = merge(merge(a, b), c);
}
void revolve(int l, int r, int d)
{
int a, b, c, e = r - l + 1;
split(root, r, b, c), split(b, l - 1, a, b), split(b, (e - d % e) % e, b, e), root = merge(merge(a, merge(e, b)), c);
}
};
按值大小分裂
使用示例，即排序树。
struct FhqTreap
{
struct Node
{
int ch[2], siz;
ll key, val;
};
vector<Node> v;
int root;
FhqTreap() : v(1), root(0) {}
void up(int k) { v[k].siz = v[v[k].ch[0]].siz + v[v[k].ch[1]].siz + 1; }
int merge(int a, int b)
{
if (!a || !b)
return a + b;
if (v[a].key < v[b].key)
return v[a].ch[1] = merge(v[a].ch[1], b), up(a), a;
return v[b].ch[0] = merge(a, v[b].ch[0]), up(b), b;
}
void splitVal(int a, ll w, int &l, int &r) //按值将树划分，使得左子树上的值恰小于w
{
if (!a)
l = r = 0;
else if (v[a].val > w)
splitVal(v[a].ch[0], w, l, v[a].ch[0]), up(r = a);
else
splitVal(v[a].ch[1], w, v[a].ch[1], r), up(l = a);
}
void insert(ll x)
{
int a, b;
v.push_back(Node{{0, 0}, 1, rand(), x}), splitVal(root, x, a, b), root = merge(merge(a, v.size() - 1), b);
}
void erase(ll x)
{
int a, b, c;
splitVal(root, x, a, b), splitVal(a, x - 1, a, c), root = merge(merge(a, merge(v[c].ch[0], v[c].ch[1])), b);
}
ll kth(int k)
{
for (int u = root, ls;;)
{
if (ls = v[v[u].ch[0]].siz, ls + 1 == k)
return v[u].val;
if (ls < k)
k -= ls + 1, u = v[u].ch[1];
else
u = v[u].ch[0];
}
}
int lower_bound(ll x) { return upper_bound(x - 1); }
int upper_bound(ll x)
{
int a, b, ret;
return splitVal(root, x, a, b), ret = v[a].siz + 1, root = merge(a, b), ret;
}
};
莫队
struct Mo
{
struct Query
{
int l, r, id;
bool operator<(const Query &n) const
{
return l / BS != n.l / BS ? l < n.l : r < n.r;
}
};
vector<Query> q;
int L, R;
void query(int l, int r) { q.push_back(Query{l, r, q.size()}); }
void rev(int x) {}
void cal(int id) {}
void ask()
{
L = 0, R = -1;
sort(q.begin(), q.end());
for (int i = 0; i < q.size(); ++i)
{
while (L < q[i].l)
rev(L++);
while (L > q[i].l)
rev(--L);
while (R < q[i].r)
rev(++R);
while (R > q[i].r)
rev(R--);
cal(q[i].id);
}
}
};
带修莫队
struct Mo
{
struct Update
{
int pos, NEW, OLD;
};
struct Query
{
int t, l, r, id;
bool operator<(const Query &n) const
{
return l / BS != n.l / BS ? l < n.l : r / BS != n.r / BS ? r < n.r : t < n.t;
}
};
vector<Update> cq;
vector<Query> q;
int T, L, R;
Mo() : cq(1) {}
void query(int x, int y) { q.push_back(Query{cq.size() - 1, x, y, q.size()}); }
void update(int x, int y) { cq.push_back(Update{x, y, t[x]}), t[x] = y; }
void set(int x, int d)
{
if (vis[x])
return rev(x), a[x] = d, rev(x);
a[x] = d;
}
void rev(int x) {}
void cal(int id) {}
void ask()
{
T = L = 0, R = -1;
sort(q.begin(), q.end());
for (int i = 0; i < q.size(); ++i)
{
while (T < q[i].t)
++T, set(cq[T].pos, cq[T].NEW);
while (T > q[i].t)
set(cq[T].pos, cq[T].OLD), --T;
while (L < q[i].l)
rev(L++);
while (L > q[i].l)
rev(--L);
while (R < q[i].r)
rev(++R);
while (R > q[i].r)
rev(R--);
cal(q[i].id);
}
}
};
树上莫队
按照欧拉序分块，使用 Tarjan 在生成欧拉序的同时预处理所有询问的 lca，预处理时间复杂度$O(n+q)$。 h 为查询图，即如果有一个询问(u,v)，即在 h 上连$u\to v,v\to u$。多个询问边有序插入 h。
struct TreeMo : Graph
{
struct Query
{
int l, r, lca, id;
bool operator<(const Query &b) const
{
return l / BS != b.l / BS ? l < b.l : r < b.r;
}
};
vector<Query> q;
vector<int> dfp, dfi, dfo;
UnionFindSet ufs;
Graph h;
int L, R;
TreeMo(int n) : Graph(n), h(n), dfp(n * 2 + 1), dfi(n), dfo(n), ufs(n) {}
void query(int x, int y)
{
h.add(Edge{x, y}), h.add(Edge{y, x});
q.push_back(Query{0, 0, 0, q.size()});
}
void rev(int x) {}
void cal(int id) {}
void dfs(int u, int &cnt)
{
dfp[dfi[u] = ++cnt] = u;
for (int i = 0, k, to; i < v[u].a.size(); ++i)
if (k = v[u].a[i], to = e[k].second, !dfi[to])
dfs(to, cnt), ufs.merge(u, to);
dfp[dfo[u] = ++cnt] = u;
for (int i = 0, k, to, id; i < h.v[u].a.size(); ++i)
if (k = h.v[u].a[i], id = k / 2, to = h.e[k].second, dfo[to])
{
q[id].lca = ufs.fa(to);
q[id].l = q[id].lca != u ? dfo[u] : dfi[u];
q[id].r = dfi[to];
}
}
void ask(int root = 1)
{
dfs(root, BS = 0), BS = sqrt(BS);
sort(q.begin(), q.end());
L = 0, R = -1;
for (int i = 0; i < q.size(); ++i)
{
while (L < q[i].l)
rev(dfp[L++]);
while (L > q[i].l)
rev(dfp[--L]);
while (R < q[i].r)
rev(dfp[++R]);
while (R > q[i].r)
rev(dfp[R--]);
if (q[i].lca != dfp[L])
rev(q[i].lca);
cal(q[i].id);
if (q[i].lca != dfp[L])
rev(q[i].lca);
}
}
};
树上带修莫队
struct CapitalTreeMo : Graph
{
struct Update
{
int pos, NEW, OLD;
};
struct Query
{
int t, l, r, lca, id;
bool operator<(const Query &b) const
{
return l / BS != b.l / BS ? l < b.l : r / BS != b.r / BS ? r < b.r : t < b.t; //在BZOJ4129上去掉r/BS还快100ms?
}
};
vector<Update> cq;
vector<Query> q;
vector<int> dfp, dfi, dfo;
UnionFindSet ufs;
Graph h;
int T, L, R;
CapitalTreeMo(int n) : cq(1), Graph(n), h(n), dfp(n * 2 + 1), dfi(n), dfo(n), ufs(n) {}
void query(int x, int y)
{
h.add(Edge{x, y}), h.add(Edge{y, x});
q.push_back(Query{cq.size() - 1, 0, 0, 0, q.size()});
}
void update(int x, int y)
{
cq.push_back(Update{x, y, t[x]}), t[x] = y;
}
void dfs(int u, int &cnt)
{
dfp[dfi[u] = ++cnt] = u;
for (int i = 0, k, to; i < v[u].a.size(); ++i)
if (k = v[u].a[i], to = e[k].second, !dfi[to])
dfs(to, cnt), ufs.merge(u, to);
dfp[dfo[u] = ++cnt] = u;
for (int i = 0, k, to, id; i < h.v[u].a.size(); ++i)
if (k = h.v[u].a[i], id = k / 2, to = h.e[k].second, dfo[to])
{
q[id].lca = ufs.fa(to);
q[id].l = q[id].lca != u ? dfo[u] : dfi[u];
q[id].r = dfi[to];
}
}
void set(int u, int d)
{
if (vis[u])
return rev(u), a[u] = d, rev(u);
a[u] = d;
}
void rev(int u) {}
void cal(int id) {}
void ask(int root = 1)
{
dfs(root, BS = 0), BS = sqrt(BS);
sort(q.begin(), q.end());
T = L = 0, R = -1;
for (int i = 0; i < q.size(); ++i)
{
while (T < q[i].t)
++T, set(cq[T].pos, cq[T].NEW);
while (T > q[i].t)
set(cq[T].pos, cq[T].OLD), --T;
while (L < q[i].l)
rev(dfp[L++]);
while (L > q[i].l)
rev(dfp[--L]);
while (R < q[i].r)
rev(dfp[++R]);
while (R > q[i].r)
rev(dfp[R--]);
if (q[i].lca != dfp[L])
rev(q[i].lca);
cal(q[i].id);
if (q[i].lca != dfp[L])
rev(q[i].lca);
}
}
};
字符串/模式匹配
HashString
使用示例，如果要修改模数或者直接使用unsigned long long的自然溢出的话直接修改 Mod 即可。
使用unsigned long long的自然溢出快了 5 倍，但是容易被卡。
struct HashString : Mod
{
vector<ll> f, p;
HashString(const string &s, ll M = 1e9 + 7, ll P = 131) : Mod(M), f(s.size() + 1), p(s.size() + 1, 1)
{
for (int i = 0; i < s.size(); ++i)
{
f[i + 1] = add(mul(f[i], P), s[i]);
p[i + 1] = mul(p[i], P);
}
}
ll ask(int pos, int len) { return add(f[pos + len], -mul(f[pos], p[len])); } //从pos位置开始的长度为len的子串的hash值
};
KMP
struct KMP
{
vector<int> next;
string pattern;
KMP(const string &pattern) : pattern(pattern), next(pattern.size() + 1, -1)
{
for (int i = 0, j = -1; i < pattern.size();)
{
if (j == -1 || pattern[i] == pattern[j])
next[++i] = ++j;
else
j = next[j];
}
}
int find_in(const string &text)
{
for (int i = 0, j = 0;;)
{
if (j == pattern.size())
return i - j; //不return可得到所有匹配地址
if (i == text.size())
return -1;
if (j == -1 || text[i] == pattern[j])
++i, ++j;
else
j = next[j];
}
}
};
AC 自动机
struct AhoCorasick
{
struct Node
{
int ch[26], val, f, last;
int &to(char c)
{
return ch[c - 'a'];
} //如果不确定c的范围，使用map
};
vector<Node> v;
AhoCorasick() : v(1) {}
void getFail()
{
for (deque<int> q(1, v[0].last = v[0].f = 0); !q.empty(); q.pop_front())
for (char c = 'a'; c <= 'z'; ++c)
{
int r = q.front(), u = v[r].to(c), w = v[r].f;
if (!r && u)
{
q.push_back(u);
v[u].f = v[u].last = 0;
continue;
}
if (!u)
{
v[r].to(c) = v[w].to(c);
continue;
}
q.push_back(u);
while (w && !v[w].to(c))
w = v[w].f;
v[u].f = v[w].to(c);
v[u].last = v[v[u].f].val ? v[u].f : v[v[u].f].last;
}
}
void add(const string &s, int val, int u = 0)
{
for (int i = 0; i < s.size(); u = v[u].to(s[i++]))
if (!v[u].to(s[i]))
{
v[u].to(s[i]) = v.size();
v.push_back(Node());
}
v[u].val = val;
}
bool find_in(const string &s, int u = 0) //调用需要调用`getFail()`生成失配函数。
{
for (int i = 0; i < s.size(); ++i)
if (u = v[u].to(s[i]),
v[u].val || v[u].last)
return 1;
return 0;
}
};
暴力回文
时间复杂度$O(n^2)$，常数低，但会被ababababa这样的数据卡。
int palindrome(const char *s)
{
int ans = 0;
for (int i = 0, b, e; s[i]; ++i)
{
for (b = i; s[i] == s[i + 1];)
++i;
for (e = i + 1; b && s[b - 1] == s[e];)
--b, ++e;
if (ans < e - b)
ans = e - b; //此时[b,e)为最大回文区间
}
return ans;
}
线性回文
对于一个位置 i，[i−f[i]+1,i+f[i]−1]是最长的以 i 为中心的奇回文串，g[i]−i 是最长的以 i 为开头的回文串长度。
struct Manacher
{
vector<int> t, f, g;
Manacher(const string &s) : t(s.size() + 1 << 1, 0), f(t), g(t) //t初始值为s中没有出现过的值，g开始为0
{
for (int i = 0; i < s.size(); ++i)
t[i + 1 << 1] = s[i];
for (int i = 1, p = 0, m = 0; i < t.size(); ++i)
{
for (f[i] = i < m ? min(f[2 * p - i], m - i) : 1;
0 < i - f[i] && i + f[i] < t.size() &&
t[i - f[i]] == t[i + f[i]];)
++f[i];
if (m < i + f[i])
m = i + f[p = i];
}
for (int i = 2; i < t.size(); ++i)
if (g[i - f[i] + 1] < i + 1)
g[i - f[i] + 1] = i + 1;
for (int i = 1; i < t.size(); ++i)
if (g[i] < g[i - 1])
g[i] = g[i - 1];
}
int ask(int l, int r) //多次询问可做一个ST表
{
int ans = 0;
for (int i = l + 1 << 1, e = r + 1 << 1; i <= e; i += 2)
if (ans < g[i] - i)
ans = g[i] - i;
return ans;
}
};
后缀数组
m：字符集大小。
s：字符串，其中最后一位为加入的 0。
sa[i]：字典序第 i 小的是哪个后缀。
rk[i]：后缀 i 的排名。
h[i]：lcp(sa[i],sa[i−1])。
struct SufArr
{
vector<int> sa, rk, h;
SufArr(const vector<int> &s, int m) : sa(s.size(), 0), rk(s), h(s.size(), 0)
{
vector<int> cnt(s.size() + m, 0);
for (int i = 0; i < s.size(); ++i)
++cnt[rk[i]];
for (int i = 1; i < m; ++i)
cnt[i] += cnt[i - 1];
for (int i = 0; i < s.size(); ++i)
sa[--cnt[rk[i]]] = i;
for (int k = 1, j = 0; k <= s.size() && j < s.size() - 1; k <<= 1)
{
for (int i = 0; i < s.size(); ++i)
{
if (j = sa[i] - k, j < 0)
j += s.size();
h[cnt[rk[j]]++] = j;
}
cnt[0] = sa[h[0]] = j = 0;
for (int i = 1; i < s.size(); ++i)
{
if (rk[h[i]] != rk[h[i - 1]] || rk[h[i] + k] != rk[h[i - 1] + k])
cnt[++j] = i;
sa[h[i]] = j;
}
swap(rk, sa), swap(sa, h);
}
for (int i = 0, k = 0, j = rk[0]; i < s.size() - 1; ++i, ++k)
for (; ~k && s[i] != s[sa[j - 1] + k]; j = rk[sa[j] + 1], --k)
h[j] = k;
}
};