Codeforces 966D Aztec Catacombs

本文介绍了一种通过图论解决特定路径寻找问题的方法。利用广度优先搜索(BFS)来找出从起点到终点距离不超过3的路径,并针对特殊情况提出了两种解决方案。第一种情况涉及四步路径,第二种情况涉及五步路径。

原题链接.

题解:

若直接BFS出的距离小于等于3,则直接输出路径。

要么就是:
1.1->x->y->1->n

其中y->1本来没有边。

2.1->x->y->z->x->n

同理。

要优化一下完全图。

复杂度 O(m) O ( m )

证明太累了,不想写。

Code:

#include<cstdio>
#include<cstring>
#include<algorithm>
#define fo(i, x, y) for(int i = x; i <= y; i ++)
#define fd(i, x, y) for(int i = x; i >= y; i --)
#define P pair<int, int>
#define mp make_pair<int, int> 
#define fi first
#define se second
#define max(a, b) ((a) > (b) ? (a) : (b))
using namespace std;

const int N = 6e5 + 5;

int n, m, x, y, r[N], mx[N];
int final[N], next[N], to[N], tot;
int d[N], bz[N], fd[N], dis[N];
int f[N];

void link(int x, int y) {
    next[++ tot] = final[x], to[tot] = y, final[x] = tot;
    next[++ tot] = final[y], to[tot] = x, final[y] = tot;
}

int find(int x) {return f[x] == x ? x : (f[x] = find(f[x]));}

int main() {
    scanf("%d %d", &n, &m);
    fo(i, 1, n) f[i] = i, mx[i] = 1;
    fo(i, 1, m) {
        scanf("%d %d", &x, &y);
        if(x != 1 && y != 1 && x != n && y != n)
        if(find(x) != find(y))
            mx[f[y]] += mx[f[x]], f[f[x]] = f[y];
        link(x, y);
    }
    fo(i, 2, n) for(int j = final[i]; j; j = next[j]) if(to[j] != 1)
        r[i] ++;
    fo(i, 2, n) mx[i] = mx[find(i)];
    bz[1] = 1; d[d[0] = 1]  = 1; dis[1] = 0;
    fo(i, 1, d[0]) {
        int x = d[i];
        for(int j = final[x]; j; j = next[j]) {
            int y = to[j]; if(bz[y]) continue;
            bz[y] = 1;
            dis[y] = dis[x] + 1;
            fd[y] = x;
            d[++ d[0]] = y;
        }
    }
    if(dis[n] > 0 && dis[n] <= 3) {
        printf("%d\n", dis[n]);
        d[0] = 0;
        while(n != 1) {
            d[++ d[0]] = n;
            n = fd[n];
        }
        printf("1");
        fd(i, d[0], 1) printf(" %d", d[i]);
        return 0;
    }
    memset(bz, 0, sizeof bz);
    for(int i = final[1]; i; i = next[i]) bz[to[i]] = 1;
    for(int i = final[1]; i; i = next[i]) {
        int x = to[i]; if(x == 1) continue;
        for(int j = final[x]; j; j = next[j]) {
            int y = to[j]; if(y == 1 || x == y) continue;
            if(!bz[y]) {
                printf("4\n1 %d %d 1 %d\n", x, y, n);
                return 0;
            }
        }
    }
    memset(bz, 0, sizeof bz);
    for(int ii = final[1]; ii; ii = next[ii]) {
        int x = to[ii]; if(r[x] + 1 == mx[x]) continue;
        for(int j = final[x]; j; j = next[j]) bz[to[j]] = x;
        for(int j = final[x]; j; j = next[j]) {
            int y = to[j]; if(y == 1 || y == x) continue;
            for(int k = final[y]; k; k = next[k]) {
                int z = to[k]; if(z == 1 || z == y || z == x) continue;
                if(bz[z] != x) {
                    printf("5\n1 %d %d %d %d %d\n", x, y, z, x, n);
                    return 0;
                }
            }
        }
    }
    printf("-1");
}
### Codeforces 1487D Problem Solution The problem described involves determining the maximum amount of a product that can be created from given quantities of ingredients under an idealized production process. For this specific case on Codeforces with problem number 1487D, while direct details about this exact question are not provided here, similar problems often involve resource allocation or limiting reagent type calculations. For instance, when faced with such constraints-based questions where multiple resources contribute to producing one unit of output but at different ratios, finding the bottleneck becomes crucial. In another context related to crafting items using various materials, it was determined that the formula `min(a[0],a[1],a[2]/2,a[3]/7,a[4]/4)` could represent how these limits interact[^1]. However, applying this directly without knowing specifics like what each array element represents in relation to the actual requirements for creating "philosophical stones" as mentioned would require adjustments based upon the precise conditions outlined within 1487D itself. To solve or discuss solutions effectively regarding Codeforces' challenge numbered 1487D: - Carefully read through all aspects presented by the contest organizers. - Identify which ingredient or component acts as the primary constraint towards achieving full capacity utilization. - Implement logic reflecting those relationships accurately; typically involving loops, conditionals, and possibly dynamic programming depending on complexity level required beyond simple minimum value determination across adjusted inputs. ```cpp #include <iostream> #include <vector> using namespace std; int main() { int n; cin >> n; vector<long long> a(n); for(int i=0;i<n;++i){ cin>>a[i]; } // Assuming indices correspond appropriately per problem statement's ratio requirement cout << min({a[0], a[1], a[2]/2LL, a[3]/7LL, a[4]/4LL}) << endl; } ``` --related questions-- 1. How does identifying bottlenecks help optimize algorithms solving constrained optimization problems? 2. What strategies should contestants adopt when translating mathematical formulas into code during competitive coding events? 3. Can you explain why understanding input-output relations is critical before implementing any algorithmic approach? 4. In what ways do prefix-suffix-middle frameworks enhance model training efficiency outside of just tokenization improvements? 5. Why might adjusting sample proportions specifically benefit models designed for tasks requiring both strong linguistic comprehension alongside logical reasoning skills?
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