Welcome to our deep dive into the world of Data Structures and Algorithms! Today, we're going to learn about Queue Reconstruction by Height, a fascinating problem that combines our understanding of queues, arrays, and heights š!
Imagine you're at a concert where people of different heights are standing in a queue. Your task is to reconstruct this queue such that every pair of adjacent people has the same height or one person is taller than the other. Let's break it down!
A queue is a data structure that follows a First-In-First-Out (FIFO) principle. This means that the first element that goes into the queue is the first one to come out. In our problem, people join the queue one by one, and we have to ensure the rules are followed when we reconstruct the queue.
To solve the problem, we'll use an array to store people's heights and another array to store their positions in the final queue. Here's how we'll represent them:
heights[]positions[]heights[] and positions[] arrays with the given heights of people.heights[] array in ascending order.next_taller to point to the position of the next taller person in the positions[] array.heights[] array:
next_taller is either empty or the height at next_taller is less than the current height, assign the current index to next_taller.next_taller is not empty, and the height at next_taller is equal to the current height, increment both next_taller and the current index.next_taller is not empty, and the height at next_taller is greater than the current height, assign the current index to the position at next_taller and increment both next_taller and the current index.positions[] array will store the correct order of people in the final queue.Let's see a simple implementation of the algorithm in Python and Java:
def reconstructQueue(heights):
# Initialize position array with same length as heights
positions = [0] * len(heights)
# Sort heights in ascending order
heights.sort()
# Initialize next_taller to the position of the first person
next_taller = 0
# Iterate through sorted heights
for i in range(len(heights)):
# If next_taller is empty or the current height is greater, update next_taller
if next_taller == 0 or heights[i] > heights[next_taller]:
next_taller += 1
# If next_taller is not empty, and the current height is the same as the one at next_taller, increment both
if next_taller and heights[i] == heights[next_taller]:
next_taller += 1
positions[i] = next_taller
# If next_taller is not empty, and the current height is greater than the one at next_taller, update positions
if next_taller and heights[i] > heights[next_taller - 1]:
positions[next_taller - 1] = i
next_taller += 1
return positionsimport java.util.Arrays;
public class Main {
public static int[] reconstructQueue(int[] heights) {
int n = heights.length;
int[] positions = new int[n];
Arrays.sort(heights);
int nextTaller = 0;
for (int i = 0; i < n; i++) {
if (nextTaller == 0 || heights[i] > heights[nextTaller])
nextTaller++;
if (nextTaller < n && heights[i] == heights[nextTaller])
positions[i] = nextTaller++;
if (nextTaller < n && heights[i] > heights[nextTaller - 1]) {
positions[nextTaller - 1] = i;
nextTaller++;
}
}
return positions;
}
public static void main(String[] args) {
int[] heights = {19, 10, 7, 15, 17, 18, 5, 8, 3, 6, 12, 9, 11, 4, 13, 20, 14, 16};
int[] result = reconstructQueue(heights);
// Print the final queue
for (int height : result) {
System.out.print(height + " ");
}
}
}What is the data structure that follows the First-In-First-Out (FIFO) principle?
That's it for today! We hope you enjoyed learning about Queue Reconstruction by Height. Stay tuned for more fascinating lessons on Data Structures and Algorithms here at CodeYourCraft š!