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Progressive hints first, then the full explanation and implementation when you're ready to cash out.
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AI-generated and still unreviewed. Double-check the details before internalizing them.
Hints
Open only as much as you need to keep the solve alive.
Try starting from zero presents instead. If every type must be created at least once, then the real answer is the zero-start answer minus , because those first three presents were free in the original problem.
In the zero-start version, a type with fewer duplications can simply be introduced later. So after a type first appears, you may assume it gets duplicated in every later duplicate round.
This kills the need to track three separate residues. Track only the total sum modulo and a bitmask of which types have appeared.
From state , creating type goes to with cost . A synchronized duplicate round sends to with cost .
Run Dijkstra on the states from to . Then subtract . That’s the whole trick: the duplicate operation becomes “double the total,” not “please maintain three cursed private residues.”
The tempting first move is to solve each present type separately. For one value , residues form a graph with edges costing and costing . That part is fine. The problem is combining three such distance arrays: you run straight into min-plus convolution, which is where dreams go to die.
The actual trick is to change the viewpoint.
Zero-Start Trick
Solve this variant first: Santa starts with no presents, and must end with at least one present of each type.
If the minimum cost there is , then the original answer is
In the zero-start version, the first copy of each type costs , , and . In the real problem, those exact first copies already exist for free. Everything else can be identical.
Canonical Duplicate Rounds
Consider any zero-start construction. For a fixed type, suppose it is duplicated times after its first copy appears. A present created before all duplications contributes to the final sum. A present created later contributes for some smaller .
Now compare different types. If type needs more future duplications than type , we can delay the first creation of type until only its needed number of duplicate rounds remain.
So every optimal construction can be rewritten like this:
Once a type appears, it participates in every later duplicate round. That is the key. We no longer need separate residues for , , and .
State Graph
Let , , .
A state is
where is the current total sum modulo , and mask records which types have appeared at least once.
There are only states.
Create type :
with cost .
Duplicate one synchronized round:
with cost
Why does the total double? Because this round duplicates every type that has appeared, so every currently represented present gets copied once. Clean. No three-dimensional state explosion nonsense.
Start at . We need : total divisible by , and all three types appeared. Run Dijkstra, then subtract .
Correctness
Every graph path gives a valid zero-start spell sequence. Create edges are literal create spells. A duplicate edge is implemented by duplicating each appeared type once, costing for each set bit in mask, and doubling the total sum.
Now take any valid zero-start spell sequence. For every created present, define its level as the number of future duplications of its type. Process levels from large to small: create all presents of the current level, then duplicate all types that still need one of these future duplications. Types with fewer total duplications are introduced later. This preserves every final multiplier, every create cost, and every duplicate cost.
So the shortest path in this graph is exactly the zero-start optimum. Subtracting converts it back to the original problem.
Complexity
There are states and at most four outgoing edges per state. Dijkstra runs in
per test case. Since , this fits easily.
#include <bits/stdc++.h>
using namespace std;
using ll = long long;
void setIO() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
}
int main() {
setIO();
int T;
cin >> T;
const ll INF = (1LL << 62);
while (T--) {
int a, b, c, m, k;
cin >> a >> b >> c >> m >> k;
int v[3] = {a, b, c};
int n = 8 * m;
vector<ll> dist(n, INF);
priority_queue<pair<ll, int>, vector<pair<ll, int>>, greater<pair<ll, int>>> pq;
dist[0] = 0;
pq.push({0, 0});
int target = 7 * m;
ll best = INF;
while (!pq.empty()) {
auto [d, id] = pq.top();
pq.pop();
if (d != dist[id]) continue;
if (id == target) {
best = d;
break;
}
int mask = id / m;
int r = id - mask * m;
for (int i = 0; i < 3; i++) {
int nmask = mask | (1 << i);
int nr = r + v[i];
if (nr >= m) nr -= m;
int nid = nmask * m + nr;
ll nd = d + v[i];
if (nd < dist[nid]) {
dist[nid] = nd;
pq.push({nd, nid});
}
}
if (mask != 0) {
int nr = (2 * r) % m;
int nid = mask * m + nr;
ll nd = d + 1LL * k * __builtin_popcount((unsigned)mask);
if (nd < dist[nid]) {
dist[nid] = nd;
pq.push({nd, nid});
}
}
}
cout << best - 1LL * (a + b + c) << '\n';
}
return 0;
}#include <bits/stdc++.h>
using namespace std;
using ll = long long;
void setIO() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
}
int main() {
setIO();
int T;
cin >> T;
const ll INF = (1LL << 62);
while (T--) {
int a, b, c, m, k;
cin >> a >> b >> c >> m >> k;
int v[3] = {a, b, c};
int n = 8 * m;
vector<ll> dist(n, INF);
priority_queue<pair<ll, int>, vector<pair<ll, int>>, greater<pair<ll, int>>> pq;
dist[0] = 0;
pq.push({0, 0});
int target = 7 * m;
ll best = INF;
while (!pq.empty()) {
auto [d, id] = pq.top();
pq.pop();
if (d != dist[id]) continue;
if (id == target) {
best = d;
break;
}
int mask = id / m;
int r = id - mask * m;
for (int i = 0; i < 3; i++) {
int nmask = mask | (1 << i);
int nr = r + v[i];
if (nr >= m) nr -= m;
int nid = nmask * m + nr;
ll nd = d + v[i];
if (nd < dist[nid]) {
dist[nid] = nd;
pq.push({nd, nid});
}
}
if (mask != 0) {
int nr = (2 * r) % m;
int nid = mask * m + nr;
ll nd = d + 1LL * k * __builtin_popcount((unsigned)mask);
if (nd < dist[nid]) {
dist[nid] = nd;
pq.push({nd, nid});
}
}
}
cout << best - 1LL * (a + b + c) << '\n';
}
return 0;
}