E. Coffee Central
Problem ID: coffee Is it just a fad or is it here to stay? You’re not sure, but the steadily increasing number of coffee shops that are opening in your hometown has certainly become quite a draw. Apparently, people have become so addicted to coffee that apa...
Problem Statement
Formatted from the contest statement text, with sample tests broken out into copyable blocks.
Is it just a fad or is it here to stay? You’re not sure, but the steadily increasing number of coffee shops that are opening in your hometown has certainly become quite a draw. Apparently, people have become so addicted to coffee that apartments that are close to many coffee shops will actually fetch higher rents. This has come to the attention of a local real-estate company. They are interested in identifying the most valuable locations in the city in terms of their proximity to large numbers of coffee shops. They have given you a map of the city, marked with the locations of coffee shops. Assuming that the average person is willing to walk only a fixed number of blocks for their morning coffee, you have to find the location from which one can reach the largest number of coffee shops. As you are probably aware, your hometown is built on a square grid layout, with blocks aligned on north-south and east-west axes. Since you have to walk along streets, the distance between intersections (a, b) and (c, d) is |a − c| + |b − d|.
Input
The input contains several test cases. Each test case describes a city. The first line of each test case contains four integers dx, dy, n, and q. These are the dimensions of the city grid dx × dy (1 ≤ dx, dy ≤ 1000), the number of coffee shops n (0 ≤ n ≤ 5 · 105 ), and the number of queries q (1 ≤ q ≤ 20). Each of the next n lines contains two integers xi and yi (1 ≤ xi ≤ dx, 1 ≤ yi ≤ dy); these specify the location of the ith coffee shop. There will be at most one coffee shop per intersection. Each of the next q lines contains a single integer m (0 ≤ m ≤ 106 ), the maximal distance that a person is willing to walk for a cup of coffee. The last test case is followed by a line containing four zeros.
Output
For each test case in the input, display its case number. Then display one line per query in the test case. Each line displays the maximum number of coffee shops reachable for the given query distance m followed by the optimal location. For example, the sample output shows that 3 coffee shops are within query distance 1 of the optimal location (3, 4), 4 shops are within query distance 2 of optimal location (2, 2), and 5 shops are within query distance 4 of optimal location (3, 1). If there are multiple optimal locations, pick the location that is furthest south (minimal positive integer y-coordinate). If there is still a tie, pick the location furthest west (minimal positive integer x-coordinate). Follow the format of the sample output.
ICPC 2011 World Finals Problem E: Coffee Central
Sample Tests
4 4 5 3
1 1
1 2
3 3
4 4
2 4
1
2
4
0 0 0 0
ICPC 2011 World Finals Problem E: Coffee Central Case 1:
3 (3,4)
4 (2,2)
5 (3,1) Editorial
The solution write-up is rendered from the LaTeX source, with equations kept live through MathJax.
Key Observations
Write the structural observations that make the problem tractable.
State any useful invariant, monotonicity property, graph interpretation, or combinatorial reformulation.
If the constraints matter, explain exactly which part of the solution they enable.
Algorithm
Describe the data structures and the state maintained by the algorithm.
Explain the processing order and why it is sufficient.
Mention corner cases explicitly if they affect the implementation.
Correctness Proof
We prove that the algorithm returns the correct answer.
Lemma 1.
State the first key claim.
Proof.
Provide a concise proof.
Lemma 2.
State the next claim if needed.
Proof.
Provide a concise proof.
Theorem.
The algorithm outputs the correct answer for every valid input.
Proof.
Combine the lemmas and finish the argument.
Complexity Analysis
State the running time and memory usage in terms of the input size.
Implementation Notes
Mention any non-obvious implementation detail that is easy to get wrong.
Mention numeric limits, indexing conventions, or tie-breaking rules if relevant.
Code
C++ solution used for this page.
#include <bits/stdc++.h>
using namespace std;
namespace {
void solve() {
// Fill in the full solution logic for the problem here.
}
} // namespace
int main() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
solve();
return 0;
}
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