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Competitive Programming

IOI 2014 - Rail

There are n railway stations on a line, each of type C (``left-turn'') or type D (``right-turn''). Station 0 is type C at a known position. You may query the distance d(i,j) between any two stations. Using at most O(n...

Source sync Apr 19, 2026
Track IOI
Year 2014
Files TeX and C++
Folder competitive_programming/ioi/2014/rail
IOI2014TeXC++

Source-first archive entry

This page is built from the copied files in competitive_programming/ioi/2014/rail. Edit competitive_programming/ioi/2014/rail/solution.tex to update the written solution and competitive_programming/ioi/2014/rail/solution.cpp to update the implementation.

The website does not replace those files with hand-maintained HTML. It reads the copied source tree during the build and exposes the exact files below.

Problem Statement

Rendered from the "Problem Summary" section inside solution.tex because this entry has no separate statement file.

There are $n$ railway stations on a line, each of type C (``left-turn'') or type D (``right-turn''). Station 0 is type C at a known position. You may query the distance $d(i,j)$ between any two stations. Using at most $O(n)$ queries, determine the type and position of every station.

The distance function reflects the rail mechanics: trains bounce off intermediate stations of the opposite type, so $d(i,j)$ is not simply $|\text{pos}_i - \text{pos}_j|$ in general.

Editorial

Rendered from the copied solution.tex file. The original TeX source remains available below.

Solution

  1. Find the nearest D-station. Query $d(0, i)$ for all $i \ge 1$. The station $r$ minimising $d(0, r)$ is the nearest D-station to the right of station 0. Its position is $\text{pos}[0] + d(0, r)$.

  2. Classify stations. Query $d(r, i)$ for each remaining station $i$. Using the triangle-inequality test:

    • If $d(0, i) = d(0, r) + d(r, i)$: station $i$ lies to the right of $r$ (candidate C-station).

    • Otherwise: station $i$ lies to the left of station 0 (candidate D-station).

    • Verify and determine positions. Process right-side candidates sorted by $d(r, i)$ (ascending), tracking the last confirmed D-station. For each candidate, one verification query against the last confirmed D-station determines its type and position. Symmetrically, process left-side candidates sorted by $d(0, i)$, tracking the last confirmed C-station. enumerate

      C++ Implementation

      #include <bits/stdc++.h>
      using namespace std;
      
      // Grader-provided: int getDistance(int i, int j);
      
      void findLocation(int n, int first, int location[], int stype[]) {
          stype[0] = 1;
          location[0] = first;
          if (n == 1) return;
      
          vector<int> d0(n);
          d0[0] = 0;
          for (int i = 1; i < n; i++)
              d0[i] = getDistance(0, i);
      
          // Nearest station to 0 is the closest D-station to its right
          int r = 1;
          for (int i = 2; i < n; i++)
              if (d0[i] < d0[r]) r = i;
          stype[r] = 2;
          location[r] = first + d0[r];
      
          vector<int> dr(n, -1);
          vector<int> rightC, leftD;
          for (int i = 1; i < n; i++) {
              if (i == r) continue;
              dr[i] = getDistance(r, i);
              if (d0[i] == d0[r] + dr[i])
                  rightC.push_back(i);
              else
                  leftD.push_back(i);
          }
      
          // Process right-side C-candidates
          sort(rightC.begin(), rightC.end(),
               [&](int a, int b) { return dr[a] < dr[b]; });
          int lastD = r;
          for (int i : rightC) {
              int expected_pos = location[r] + dr[i];
              int dist_check = getDistance(lastD, i);
              int direct = expected_pos - location[lastD];
              if (dist_check == direct && direct >= 0) {
                  stype[i] = 1;
                  location[i] = expected_pos;
              } else {
                  stype[i] = 2;
                  location[i] = location[lastD] - dist_check;
                  lastD = i;
              }
          }
      
          // Process left-side D-candidates
          sort(leftD.begin(), leftD.end(),
               [&](int a, int b) { return d0[a] < d0[b]; });
          int lastC = 0;
          for (int i : leftD) {
              int expected_pos = location[0] - d0[i];
              int dist_check = getDistance(lastC, i);
              int direct = location[lastC] - expected_pos;
              if (dist_check == direct && direct >= 0) {
                  stype[i] = 2;
                  location[i] = expected_pos;
              } else {
                  stype[i] = 1;
                  location[i] = location[lastC] + dist_check;
                  lastC = i;
              }
          }
      }

      Complexity Analysis

      • Queries: $(n-1)$ for $d(0,\cdot)$ + $(n-2)$ for $d(r,\cdot)$ + at most $(n-2)$ verification queries $= 3n - 5$ total, i.e., $O(n)$.

      • Time: $O(n \log n)$ due to sorting.

      • Space: $O(n)$.

Code

Exact copied C++ implementation from solution.cpp.

C++ competitive_programming/ioi/2014/rail/solution.cpp

Exact copied implementation source.

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

// In the actual IOI grader, getDistance is provided.
int getDistance(int i, int j);

// We'll define the solution function as specified by the grader.
void findLocation(int n, int first, int location[], int stype[]) {
    // stype[i]: 1 = C, 2 = D
    // location[i]: position of station i
    // Station 0 is type C at position 'first'
    stype[0] = 1;
    location[0] = first;

    if (n == 1) return;

    // Query d(0, i) for all i
    vector<int> d0(n);
    d0[0] = 0;
    for (int i = 1; i < n; i++) {
        d0[i] = getDistance(0, i);
    }

    // Find nearest station to 0: this is the closest D-station to the right
    int r = 1;
    for (int i = 2; i < n; i++) {
        if (d0[i] < d0[r]) r = i;
    }
    stype[r] = 2; // type D
    location[r] = first + d0[r];

    // Classify remaining stations
    // Right-side C candidates and left-side D candidates
    vector<int> rightC, leftD;

    vector<int> dr(n, -1);
    for (int i = 1; i < n; i++) {
        if (i == r) continue;
        dr[i] = getDistance(r, i);
        if (d0[i] == d0[r] + dr[i]) {
            // Station i is to the right of r -> candidate C
            rightC.push_back(i);
        } else {
            // Station i is to the left of 0 -> candidate D
            leftD.push_back(i);
        }
    }

    // Process rightC: sorted by distance from r
    sort(rightC.begin(), rightC.end(), [&](int a, int b) {
        return dr[a] < dr[b];
    });

    // The nearest known D-station going right is r
    // For each candidate in rightC (sorted by distance from r):
    //   - It should be type C at position location[r] + dr[i]
    //   - But verify: check if d(lastD, i) is consistent
    int lastD = r;
    for (int i : rightC) {
        int expected_pos = location[r] + dr[i];
        // Check against lastD
        int dist_check = getDistance(lastD, i);
        int direct = expected_pos - location[lastD];
        if (dist_check == direct && direct >= 0) {
            stype[i] = 1; // C
            location[i] = expected_pos;
        } else {
            // It's actually a D-station
            stype[i] = 2;
            // position = location[lastD] - (dist_check)
            // d(lastD, i): lastD is D, goes left, bounces...
            // Actually: location[i] = location[0] + d0[i] (if it's between 0 and r)
            // Reconsider: d(0,i) = d(0,r) + d(r,i) still holds
            // but i is a D-station between 0 and r
            location[i] = location[lastD] - dist_check;
            lastD = i;
        }
    }

    // Process leftD: sorted by distance from 0
    sort(leftD.begin(), leftD.end(), [&](int a, int b) {
        return d0[a] < d0[b];
    });

    int lastC = 0;
    for (int i : leftD) {
        int expected_pos = location[0] - d0[i];
        int dist_check = getDistance(lastC, i);
        int direct = location[lastC] - expected_pos;
        if (dist_check == direct && direct >= 0) {
            stype[i] = 2; // D
            location[i] = expected_pos;
        } else {
            stype[i] = 1; // C
            location[i] = location[lastC] + dist_check;
            lastC = i;
        }
    }
}

int main() {
    // Grader handles I/O
    return 0;
}

Source Files

Exact copied source-of-truth files. Edit solution.tex for the write-up and solution.cpp for the implementation.

TeX write-up competitive_programming/ioi/2014/rail/solution.tex

Exact copied write-up source.

Raw file
\documentclass[11pt,a4paper]{article}
\usepackage[utf8]{inputenc}
\usepackage[margin=1in]{geometry}
\usepackage{amsmath,amssymb,amsthm}
\usepackage{listings}
\usepackage{xcolor}
\usepackage{hyperref}

\newtheorem{theorem}{Theorem}
\newtheorem{lemma}[theorem]{Lemma}

\lstset{
  language=C++,
  basicstyle=\ttfamily\small,
  keywordstyle=\color{blue}\bfseries,
  commentstyle=\color{gray},
  stringstyle=\color{red},
  numbers=left,
  numberstyle=\tiny\color{gray},
  breaklines=true,
  frame=single,
  tabsize=4,
  showstringspaces=false
}

\title{IOI 2014 -- Rail}
\author{}
\date{}

\begin{document}
\maketitle

\section{Problem Summary}

There are $n$ railway stations on a line, each of type~C (``left-turn'') or type~D (``right-turn''). Station~0 is type~C at a known position. You may query the distance $d(i,j)$ between any two stations. Using at most $O(n)$ queries, determine the type and position of every station.

The distance function reflects the rail mechanics: trains bounce off intermediate stations of the opposite type, so $d(i,j)$ is not simply $|\text{pos}_i - \text{pos}_j|$ in general.

\section{Solution}

\begin{enumerate}
  \item \textbf{Find the nearest D-station.} Query $d(0, i)$ for all $i \ge 1$. The station $r$ minimising $d(0, r)$ is the nearest D-station to the right of station~0. Its position is $\text{pos}[0] + d(0, r)$.

  \item \textbf{Classify stations.} Query $d(r, i)$ for each remaining station $i$. Using the triangle-inequality test:
  \begin{itemize}
    \item If $d(0, i) = d(0, r) + d(r, i)$: station $i$ lies to the right of $r$ (candidate C-station).
    \item Otherwise: station $i$ lies to the left of station~0 (candidate D-station).
  \end{itemize}

  \item \textbf{Verify and determine positions.} Process right-side candidates sorted by $d(r, i)$ (ascending), tracking the last confirmed D-station. For each candidate, one verification query against the last confirmed D-station determines its type and position. Symmetrically, process left-side candidates sorted by $d(0, i)$, tracking the last confirmed C-station.
\end{enumerate}

\section{C++ Implementation}

\begin{lstlisting}
#include <bits/stdc++.h>
using namespace std;

// Grader-provided: int getDistance(int i, int j);

void findLocation(int n, int first, int location[], int stype[]) {
    stype[0] = 1;
    location[0] = first;
    if (n == 1) return;

    vector<int> d0(n);
    d0[0] = 0;
    for (int i = 1; i < n; i++)
        d0[i] = getDistance(0, i);

    // Nearest station to 0 is the closest D-station to its right
    int r = 1;
    for (int i = 2; i < n; i++)
        if (d0[i] < d0[r]) r = i;
    stype[r] = 2;
    location[r] = first + d0[r];

    vector<int> dr(n, -1);
    vector<int> rightC, leftD;
    for (int i = 1; i < n; i++) {
        if (i == r) continue;
        dr[i] = getDistance(r, i);
        if (d0[i] == d0[r] + dr[i])
            rightC.push_back(i);
        else
            leftD.push_back(i);
    }

    // Process right-side C-candidates
    sort(rightC.begin(), rightC.end(),
         [&](int a, int b) { return dr[a] < dr[b]; });
    int lastD = r;
    for (int i : rightC) {
        int expected_pos = location[r] + dr[i];
        int dist_check = getDistance(lastD, i);
        int direct = expected_pos - location[lastD];
        if (dist_check == direct && direct >= 0) {
            stype[i] = 1;
            location[i] = expected_pos;
        } else {
            stype[i] = 2;
            location[i] = location[lastD] - dist_check;
            lastD = i;
        }
    }

    // Process left-side D-candidates
    sort(leftD.begin(), leftD.end(),
         [&](int a, int b) { return d0[a] < d0[b]; });
    int lastC = 0;
    for (int i : leftD) {
        int expected_pos = location[0] - d0[i];
        int dist_check = getDistance(lastC, i);
        int direct = location[lastC] - expected_pos;
        if (dist_check == direct && direct >= 0) {
            stype[i] = 2;
            location[i] = expected_pos;
        } else {
            stype[i] = 1;
            location[i] = location[lastC] + dist_check;
            lastC = i;
        }
    }
}
\end{lstlisting}

\section{Complexity Analysis}

\begin{itemize}
  \item \textbf{Queries}: $(n-1)$ for $d(0,\cdot)$ + $(n-2)$ for $d(r,\cdot)$ + at most $(n-2)$ verification queries $= 3n - 5$ total, i.e., $O(n)$.
  \item \textbf{Time}: $O(n \log n)$ due to sorting.
  \item \textbf{Space}: $O(n)$.
\end{itemize}

\end{document}