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template <typename T = long long>
class Tree {
vector<T> tree;
public:
// 构造函数:初始化大小为 n 的树状数组,初始所有元素值为 val(外部表现为 0-based)
Tree(int n, T val = 0) : tree(n + 1) {
for (int i = 1; i <= n; i++) {
tree[i] += val;
int nxt = i + (i & -i);
if (nxt <= n) {
tree[nxt] += tree[i];
}
}
}
// 构造函数:使用给定的 vector 在 O(N) 时间内快速初始化建树
Tree(const vector<T>& data) {
int n = data.size();
tree.resize(n + 1);
for (int i = 1; i <= n; i++) {
tree[i] += data[i - 1]; // data是 0-based
int nxt = i + (i & -i);
if (nxt <= n) {
tree[nxt] += tree[i];
}
}
}
// 单点修改:将 0-based 下标 i 处的元素增加 val
void add(int i, T val = 1) {
for (++i; i < tree.size(); i += i & (-i)) {
tree[i] += val;
}
}
// 前缀求和:计算 0-based 下标区间 [0, i] 内的所有元素之和
T pre(int i) const {
T res = 0;
for (++i; i > 0; i &= i - 1) {
res += tree[i];
}
return res;
}
// 区间求和:计算 0-based 下标区间 [l, r] 内的所有元素之和
T query(int l, int r) const {
if (r < l) {
return 0;
}
return pre(r) - pre(l - 1); // 当 l=0 时, pre(-1) 会合理地返回 0
}
// 树上二分查找:返回满足前缀和 >= val 的最小 0-based 下标
int lower_bound(T val) const {
int w = bit_width(tree.size() - 1);
int res = 0;
T s = 0;
for (int i = w - 1; i >= 0; i--) {
int nxt = res + (1 << i);
if (nxt < tree.size() && tree[nxt] + s < val) {
res += (1 << i);
s += tree[nxt];
}
}
return res; // 返回 0-based 下标:内部 1-based 下标为 res + 1,因此 0-based 为 res
}
};
void solve() {
int n;
cin >> n;
vl a(n);
rep(i, 0, n - 1) cin >> a[i];
ll maxx = *max_element(all(a));
Tree<ll> tree(maxx + 1);
Tree<ll> tree2(maxx + 1);
ll ans = 0;
ll tem = 0;
rep(i, 0, n - 1) {
ll tem2 = tree2.query(a[i] + 1, maxx);
ll tem3 = tree.query(a[i] + 1, maxx);
ans += tem3 - tem2 * a[i];
tree.add(a[i], a[i]);
tree2.add(a[i], 1);
}
ll ans2 = ans;
Tree<ll> tree3(maxx + 1);
Tree<ll> tree4(maxx + 1);
rep(i, 0, n - 1) { tree4.add(a[i], 1); }
rep(i, 0, n - 1) {
ll tem2 = tree3.query(a[i], maxx);
ll tem3 = tree4.query(0, a[i] - 1);
ans2 = max(ans2, ans + tem2 - tem3);
tree3.add(a[i], 1);
tree4.add(a[i], -1);
}
cout << max(ans, ans2) << endl;
return;
}
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