ICPC 2021
ICPC 2021

F. Islands from the Sky

You might never have heard of the island group of Iceepeecee, but that suits their inhabitants just fine. Located in a remote part of the South Pacific, they are truly off the beaten track, without any regular air or sea traffic, and they have remained a tr...

Updated May 21, 2026
Track ICPC
Year 2021
Statement Text + PDF
TeXC++Statement textStatement PDF

Problem Statement

Formatted from the contest statement text, with sample tests broken out into copyable blocks.

Time limit 2 seconds

You might never have heard of the island group of Iceepeecee, but that suits their inhabitants just fine. Located in a remote part of the South Pacific, they are truly off the beaten track, without any regular air or sea traffic, and they have remained a tropical paradise with unspoiled local fauna and flora. Being off the map is great when you don’t want to be overrun by hordes of tourists, but not so ideal when you actually do need a map for some reason. One such reason came up recently: Iceepeecee’s central government needs an exact map of the islands to apportion government funds. Even tropical paradises need money, so Iceepeecee needs a map! The easiest way to create a map would be an aerial survey. After dismissing chartering planes as too expensive, building an air balloon as too dangerous, and fitting carrier pigeons with cameras as too cruel to animals, they had a brilliant idea. Even with its remote location, there are still plenty of commercial airplanes crossing the skies above Iceepeecee. What if one mounted cameras on flights that are already scheduled to fly anyway? That would be a cheap solution to the problem! Iceepeecee’s plan is to install line-scan cameras on the planes. These cameras point straight downwards and collect images one line segment at a time, orthogonal to the flight path. The photographed line segment will be determined by the altitude that the plane is flying at, and the camera’s aperture angle θ (see Figure F.1). Greater angles θ mean that the camera can see more, but also that the camera is more expensive. Moreover, Iceepeecee wants to make sure that each island is observed in its entirety by at least one flight. That means it is not sufficient that an island is only partially photographed by multiple flights, even if the combination of the photographs covers the whole island. Flight paths follow straight line segments in three-dimensional space, that is, (x1 , y1 , z1 ) − (x2 , y2 , z2 ) (see Figure F.2), where the z-coordinates give the altitude of the plane. Photographs are taken only along these line segments. Given the location of their islands and flights, Iceepeecee wants to find the smallest aperture angle θ that allows for a successful survey. Can you help?

θ   θ
Figure F.1: A view of the plane, shown         (a) Three islands (shown in        (b) The shaded areas represent
head-on. Its camera points downward and        black) and two flight paths (red   the ground visible on the two
                                               and green). Altitudes are not      flight paths for an optimally cho-
can see the part of the ground underneath      shown.                             sen θ.
the plane that is shown in green. How
much is visible depends on the aperture        Figure F.2: Surveying three islands via two flight paths.
angle θ.                                       This corresponds to the first sample input.

Input

The input describes a set of islands and flight paths. It starts with a line containing two integers n and m, the number n of islands, and the number m of flight paths, respectively (1 ≤ n, m ≤ 100). This is followed by descriptions of the n islands. Each island description starts with a line containing a single integer ni , the number of vertices of the polygon describing the ith island (3 ≤ ni ≤ 100). It is followed by ni lines, each containing two integers xij , yij (|xij |, |yij | ≤ 106 ), specifying the vertices for the ith island in counterclockwise order. Each island’s polygon is simple, that is, its vertices are distinct and no two edges of the polygon intersect or touch, other than consecutive edges which touch at their common vertex. Different islands do not intersect or touch. The input concludes with another m lines, each describing a flight path. Each such line contains six integers x1 , y1 , z1 , x2 , y2 , z2 (|xi |, |yi |, |zi | ≤ 106 , zi > 0 and (x1 , y1 ) 6= (x2 , y2 )). They specify that a flight takes place from (x1 , y1 , z1 ) to (x2 , y2 , z2 ).

Output

Output the smallest angle θ (in degrees) that allows for a complete survey of the islands with the given flights. The answer should be exact to an absolute or relative error of 10−6 . If there is no such angle, then output impossible. The input is chosen such that if the coordinates of the island vertices are changed by at most ±10−8 , then the answer will not change more than the allowed rounding error.

Sample Tests

Sample 1
Sample Input
 3 2
 3
 20 30
 50 50
 10 50
 4
 40 20
 60 10
 75 20
 60 30
 4
 45 60
 55 55
 60 60
 55 65
 0 30 20 78 70 5
 55 0 20 70 60 10
Sample Output
48.031693036
Sample 2
Sample Input
 1 1
 4
 0 0
 10 0
 10 10
 0 10
 5 5 10 15 5 10
Sample Output
impossible

Editorial

The solution write-up is rendered from the LaTeX source, with equations kept live through MathJax.

Shape Covered by One Flight

Project a flight to the ground plane. Let its projected segment go from $A$ to $B$, and let the altitudes at those endpoints be $z_A$ and $z_B$.

At any point along the flight, the camera sees points on the ground up to distance \[ z \tan \theta \] to each side of the projected path, measured perpendicularly. Because altitude changes linearly along the flight segment, this half-width also changes linearly.

Therefore the visible ground region is a convex quadrilateral: a strip around $AB$ whose half-width is $z_A \tan \theta$ at $A$ and $z_B \tan \theta$ at $B$.

A Vertex Formula

Fix one flight and one island. Let

  • $d$ be the unit direction vector of the projected flight;

  • $n$ be a unit vector perpendicular to $d$.

  • For an island vertex $P$, write its coordinates relative to the flight start as \[ P-A. \] Then

  • its coordinate along the flight is \[ s = (P-A)\cdot d; \]

  • its perpendicular offset from the flight line is \[ r = |(P-A)\cdot n|. \]

  • The point projects onto the flight segment if and only if \[ 0 \le s \le |AB|. \] At that projected location, the altitude equals \[ z(s) = z_A + (z_B-z_A)\frac{s}{|AB|}. \] So this vertex is covered exactly when \[ r \le z(s)\tan\theta. \] Equivalently, this vertex requires \[ \tan\theta \ge \frac{r}{z(s)}. \]

Why Checking Only Vertices Is Enough

The visible region of one flight is convex. If every vertex of the island polygon lies inside that convex region, then every island edge lies inside it as well, because each edge is a segment between two inside points. Hence the whole island is covered.

So for a fixed island and flight, the minimum required value of $\tan\theta$ is just the maximum of \[ \frac{r}{z(s)} \] over all island vertices, provided every vertex projects onto the flight segment.

If even one vertex projects before $A$ or after $B$, then this flight can never cover the whole island, regardless of the angle.

Algorithm

  1. For every island and every flight:

    • compute the projected flight direction and length;

    • for each island vertex, compute its along-coordinate $s$ and perpendicular offset $r$;

    • if some vertex has $s \notin [0,|AB|]$, mark this flight as impossible for that island;

    • otherwise take the maximum required value \[ \frac{r}{z(s)}. \]

    • For each island, keep the best flight, i.e. the minimum required $\tan\theta$.

    • If some island has no feasible flight, output impossible.

    • Otherwise the answer is \[ \theta = \arctan\!\Bigl(\max_i \text{bestNeeded}_i\Bigr), \] converted to degrees. enumerate

      Correctness Proof

      We prove that the algorithm returns the correct answer.

      Lemma 1.

      For a fixed flight, a ground point $P$ is covered if and only if its orthogonal projection onto the flight path lies on the projected segment and its perpendicular distance from that segment is at most $z(s)\tan\theta$, where $z(s)$ is the flight altitude above the projected point.

      Proof.

      At every position along the flight, the camera covers exactly the interval of ground points perpendicular to the flight path whose half-width is the current altitude times $\tan\theta$. Since altitude varies linearly along the straight flight segment, the allowed perpendicular distance at projected position $s$ is exactly $z(s)\tan\theta$. A point outside the endpoint slab cannot be seen because photographs are taken only while the plane moves along the segment. □

      Lemma 2.

      For a fixed island and flight, if every island vertex is covered, then the whole island is covered.

      Proof.

      By Lemma 1 the visible region of one flight is a convex quadrilateral. Every edge of the island polygon is a segment between two covered vertices, so the whole edge lies inside this convex region. Since the island polygon is exactly the union of its edges and interior, the full island is covered. □

      Lemma 3.

      For a fixed island and flight, if all island vertices project onto the flight segment, then the minimum possible value of $\tan\theta$ that covers the island equals \[ \max_{\text{vertex }P}\frac{r(P)}{z(s(P))}. \]

      Proof.

      By Lemma 1, each vertex $P$ is covered exactly when \[ \tan\theta \ge \frac{r(P)}{z(s(P))}. \] All vertices are covered simultaneously exactly when $\tan\theta$ is at least the maximum of these lower bounds. By Lemma 2 this is also sufficient for the entire island. □

      Lemma 4.

      If some island vertex projects outside the flight segment, then that flight can never cover the whole island.

      Proof.

      By Lemma 1, any covered point must project onto the flight segment itself. A vertex projecting outside the segment is therefore uncovered for every angle, so the whole island cannot be covered by that flight. □

      Theorem.

      The algorithm outputs impossible exactly when no valid survey exists; otherwise it outputs the smallest aperture angle that allows a complete survey.

      Proof.

      By Lemmas 3 and 4, for each island-flight pair the algorithm computes exactly the minimum feasible $\tan\theta$, or correctly marks the pair impossible. Choosing the minimum over flights gives the best way to cover that island. Then the overall angle must be large enough to satisfy every island, so it is determined by the maximum of these per-island requirements. Since $\arctan$ is strictly increasing, taking the arctangent at the end gives exactly the smallest feasible angle. □

      Complexity Analysis

      Let $V$ be the total number of island vertices. For each of the $m$ flights we inspect every island vertex once, so the running time is $O(mV)$. With the given limits this is easily fast enough. The memory usage is $O(V + m)$.

      Implementation Notes

      • It is simpler to work with $\tan\theta$ during the whole computation and convert to degrees only once at the end.

      • All geometry here is just dot products with one unit direction vector and one unit normal vector per flight.

Code

C++ solution used for this page.

C++

Clean code view with a raw-file link when you want the original source.

Raw file
#include <bits/stdc++.h>
using namespace std;

namespace {

struct Point {
    long double x;
    long double y;
};

struct Flight {
    long double x1;
    long double y1;
    long double z1;
    long double x2;
    long double y2;
    long double z2;
};

const long double INF = 1e100L;
const long double EPS = 1e-12L;
const long double PI = acosl(-1.0L);

long double dot(const Point& a, const Point& b) {
    return a.x * b.x + a.y * b.y;
}

long double required_tan(const vector<Point>& island, const Flight& flight) {
    Point start = {flight.x1, flight.y1};
    Point end = {flight.x2, flight.y2};
    Point dir = {end.x - start.x, end.y - start.y};
    long double length = sqrtl(dot(dir, dir));

    Point unit = {dir.x / length, dir.y / length};
    Point normal = {-unit.y, unit.x};

    long double need = 0.0L;
    for (const Point& vertex : island) {
        Point rel = {vertex.x - start.x, vertex.y - start.y};
        long double along = dot(rel, unit);
        if (along < -EPS || along > length + EPS) {
            return INF;
        }

        long double t = along / length;
        long double altitude = flight.z1 + (flight.z2 - flight.z1) * t;
        long double offset = fabsl(dot(rel, normal));
        need = max(need, offset / altitude);
    }

    return need;
}

void solve() {
    int n, m;
    cin >> n >> m;

    vector<vector<Point>> islands(n);
    for (int i = 0; i < n; ++i) {
        int vertex_count;
        cin >> vertex_count;
        islands[i].resize(vertex_count);
        for (int j = 0; j < vertex_count; ++j) {
            cin >> islands[i][j].x >> islands[i][j].y;
        }
    }

    vector<Flight> flights(m);
    for (int i = 0; i < m; ++i) {
        cin >> flights[i].x1 >> flights[i].y1 >> flights[i].z1
            >> flights[i].x2 >> flights[i].y2 >> flights[i].z2;
    }

    long double answer_tan = 0.0L;
    for (const vector<Point>& island : islands) {
        long double best = INF;
        for (const Flight& flight : flights) {
            best = min(best, required_tan(island, flight));
        }
        if (best >= INF / 2) {
            cout << "impossible\n";
            return;
        }
        answer_tan = max(answer_tan, best);
    }

    long double answer = atanl(answer_tan) * 180.0L / PI;
    cout << fixed << setprecision(12) << static_cast<double>(answer) << '\n';
}

}  // namespace

int main() {
    ios::sync_with_stdio(false);
    cin.tie(nullptr);

    solve();
    return 0;
}

Source Files and Assets

Raw files are still available here when you want the original TeX, C++, or statement assets.

Show raw files