VIRUSGAMING's blog

By VIRUSGAMING, history, 10 months ago, In English

The segment tree is a very useful algorithm when doing many RMQ problems, we have the following problem: https://codeforces.com/contest/1199/problem/D how to solve it? Well, here is the segment tree to help us, but what is the segment tree? Well, it is a tree where each node is F(x, y) being x and y stored in its 2 children here is an example and the implementation:

#include <bits/stdc++.h>
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#ifdef LOCAL
#include "debug/debug.h"
#include "float/floatx.hpp"
#include "ttmath/ttmath.h"
#include "json/json.hpp"
#include <omp.h>
#include <unistd.h>
#include <windows.h>
using namespace flx;
using namespace ttmath;
using namespace nlohmann;
using namespace literals;
#include "win/api.hpp"
#endif
#ifndef LOCAL
#define debug
#endif
#define pb push_back
#define ll long long
#define ld long double
#define fx ld // antes estaba otra cosa
#define ull unsigned ll
#define S second
#define F first
using namespace std;
using namespace chrono;
using namespace __gnu_pbds;
#define THREAD_NUM 32
#define MOD 1000000007
const ll INF = 1e18, MAXN = 5e5 + 10;

typedef tree<ll, null_type, less_equal<ll>,
             rb_tree_tag, tree_order_statistics_node_update>
    TREE;

ll a[MAXN], st[MAXN * 4], lazy[MAXN * 4];

ll F(ll a, ll b)
{
    return a + b;
}

void build(ll n, ll l, ll r)
{
    lazy[n] = 0;
    if (l == r)
    {
        st[n] = a[l];
        return;
    }
    ll m = (l + r) / 2;
    build(n * 2, l, m);
    build(n * 2 + 1, m + 1, r);
    st[n] = F(st[n * 2], st[n * 2 + 1]);
}

void prop(ll l, ll r, ll n)
{
    st[n] += lazy[n] * (r - l + 1);
    if (l != r)
    {
        lazy[n * 2] = lazy[n];
        lazy[n * 2 + 1] = lazy[n];
    }
    lazy[n] = 0;
}

void update(ll n, ll l, ll r, ll a, ll b, ll val)
{
    prop(l, r, n);
    if (l > b || r < a)
        return;
    if (l >= a && r <= b)
    {
        lazy[n] += val;
        prop(l, r, n);
        return;
    }
    ll m = (l + r) / 2;
    update(n * 2, l, m, a, b, val);
    update(n * 2 + 1, m + 1, r, a, b, val);
    st[n] = F(st[n * 2], st[n * 2 + 1]);
}

ll query(ll n, ll l, ll r, ll a, ll b)
{
    prop(l, r, n);
    if (l > b || r < a)
        return 0;
    if (l >= a && r <= b)
        return st[n];
    ll m = (l + r) / 2;
    ll q1 = query(n * 2, l, m, a, b);
    ll q2 = query(n * 2 + 1, m + 1, r, a, b);
    return F(q1, q2);
}

int main(){
    int n;
    cin >> n;
    for(int i = 1; i <= n; i++){
        cin >> a[i];
    }
    build(1,1,n);
    int q;
    cin >> q;
    while(q--){
     //process query 
    }
}
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10 months ago, # |
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Auto comment: topic has been updated by VIRUSGAMING (previous revision, new revision, compare).

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10 months ago, # |
  Vote: I like it +6 Vote: I do not like it

This problem can be easily solved without segtree. For each element lets store how many type 2 was before the last type 1 operation in array S. When we have type 2 query, we increase counter of type 2 operation and put x of this operation in another array. When we have type 1 query we just change pth element in array and update our second massive on pth position with our counter of type 2 queries. Due to the fact, that type 1 query for ith element "kills" all previous type 2 operations for this element, so we only should find a maximum type 2 operation x which is equal to suffix maximum of array of type 2 queries from S[i] and if it is greater than ith element update this element with found maximum