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Create By Gamers For Gamers Explanation.txt
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Let us consider a monster (D, H) and a unit (d, h).
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Time taken by monster to kill 1 unit = h/D
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Time taken by unit to kill monster = H/d
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We need to ensure that the time taken by the monster is strictly more than the time we take to kill the monster
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h/D > H/d
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h*d > H*D
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We can treat all the monsters as products (D x H)
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For a given unit, we need to find the minimum integer c, such that
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h x (c x d) > H x D
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-----
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Another condition is that c <= C/C[i]
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-----
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Now, instead of checking the amount of damage a monster can take, let us try to calculate the maximum
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product we can reach with C[i] coins
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Maximum_product[C[i]] = max(H[i] x D[i]) initially
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The key insight to propagate this DP is that we can buy multiple sets of the same unit
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If we buy C coin sets of the i-th unit
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Maximum_product[C[i] x C] = max(C x H[i] X D[i])
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-----
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We can then binary search the answer for each query
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-----
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int main()
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{
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int no_of_elements, max_cost;
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cin >> no_of_elements >> max_cost;
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vector <long long> cost(no_of_elements + 1), damage(no_of_elements + 1), health(no_of_elements + 1);
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vector <long long> max_product(max_cost + 1, 0);
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for(int i = 1; i <= no_of_elements; i++)
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{
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cin >> cost[i] >> damage[i] >> health[i];
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max_product[cost[i]] = max(max_product[cost[i]], damage[i]*health[i]);
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}
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for(int c = 1; c <= max_cost; c++)
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{
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for(int coin_sets = 1; c*1LL*coin_sets <= max_cost; coin_sets++)
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{
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max_product[c*coin_sets] = max(max_product[c*coin_sets], max_product[c]*coin_sets);
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}
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}
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vector <long long> max_product_till(max_cost + 1);
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for(int i = 1; i <= max_cost; i++)
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{
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max_product_till[i] = max(max_product[i], max_product_till[i - 1]);
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}
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int no_of_monsters;
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cin >> no_of_monsters;
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for(int i = 1; i <= no_of_monsters; i++)
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{
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long long damage_here, health_here;
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cin >> damage_here >> health_here;
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long long product = damage_here*health_here;
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int minimum_coins = upper_bound(all(max_product_till), product) - max_product_till.begin();
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cout << (minimum_coins <= max_cost ? minimum_coins : -1) << "\n";
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}
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return 0;
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}

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