605. Can Place Flowers - Detailed Explanation

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Problem Statement

Description:
You are given a flowerbed represented as an integer array flowerbed containing 0's and 1's, where 0 means an empty plot and 1 means a plot already has a flower planted. Flowers cannot be planted in adjacent plots. Given an integer n, determine if n new flowers can be planted in the flowerbed without violating the no-adjacent-flowers rule.

Example 1:

  • Input:
    • flowerbed = [1, 0, 0, 0, 1]
    • n = 1
  • Output: true
  • Explanation:
    You can plant a flower in the middle plot (index 2) to get [1, 0, 1, 0, 1].

Example 2:

  • Input:
    • flowerbed = [1, 0, 0, 0, 1]
    • n = 2
  • Output: false
  • Explanation:
    There is only one spot available to plant a new flower without violating the adjacent rule.

Example 3:

  • Input:
    • flowerbed = [0, 0, 1, 0, 0]
    • n = 2
  • Output: true
  • Explanation:
    One valid planting is to place flowers at indices 0 and 3 (resulting in [1, 0, 1, 1, 0]), but note that careful checking of adjacent plots is required to ensure no two planted flowers become adjacent.

Constraints:

  • 1 ≤ flowerbed.length ≤ 2 * 10⁴
  • flowerbed[i] is 0 or 1
  • There are no two adjacent flowers in flowerbed initially
  • 0 ≤ n ≤ flowerbed.length

Hints

  • Hint 1:
    You need to iterate through the array and, at each empty plot, check if its adjacent plots (or boundaries) are empty.

  • Hint 2:
    Remember to treat the boundaries carefully: if the plot is at the start or end of the array, you only need to check one neighbor.

  • Hint 3:
    When you plant a flower, mark that plot as planted (set it to 1) and skip the next plot since it cannot be used to plant another flower.

Approaches

Approach 1: Greedy Iteration

  • Idea:
    Traverse the flowerbed and check for each plot if it is empty and its neighbors (if they exist) are also empty. If yes, plant a flower by setting that plot to 1 and decrement n. Continue until you finish scanning or n becomes 0.
  • Details:
    • For index i, check if flowerbed[i] == 0.
    • For the left neighbor: if i == 0 or flowerbed[i-1] == 0.
    • For the right neighbor: if i == flowerbed.length - 1 or flowerbed[i+1] == 0.
    • If both conditions are true, plant a flower (flowerbed[i] = 1) and skip the next index.
  • Benefits:
    This method is straightforward and runs in O(n) time with O(1) extra space.

Approach 2: Simulation with In-Place Updates

  • Idea:
    Use a similar method to the greedy approach but simulate the planting process more explicitly. Update the array in-place and count the planted flowers.
  • Benefits:
    This method is effectively the same as the greedy approach and uses constant extra space.

Code Implementations

Python Code

Python3
Python3

. . . .

Java Code

Java
Java

. . . .

Complexity Analysis

  • Time Complexity:
    The algorithm scans the flowerbed once, so the time complexity is O(n), where n is the length of the flowerbed.

  • Space Complexity:
    The solution uses a constant amount of extra space, O(1).

Step-by-Step Walkthrough

  1. Initialize a Counter:

    • Start with count = 0 to count the number of flowers planted.
  2. Iterate Through the Flowerbed:

    • For each index i, check if flowerbed[i] is 0 (i.e., an empty plot).
  3. Check Neighbors:

    • For the left neighbor, if i is 0 or flowerbed[i-1] is 0.
    • For the right neighbor, if i is the last index or flowerbed[i+1] is 0.
  4. Plant a Flower:

    • If both neighboring checks pass, set flowerbed[i] to 1 (simulate planting a flower).
    • Increment the count of planted flowers.
    • If count reaches n, return true.
  5. Finish the Loop:

    • After iterating through the array, if count is at least n, return true; otherwise, return false.

Visual Example

Consider the flowerbed [1, 0, 0, 0, 1] with n = 1:

  • Index 0:
    Value is 1, so skip.

  • Index 1:
    Value is 0.

    • Left neighbor (index 0) is 1 → cannot plant here.
  • Index 2:
    Value is 0.

    • Left neighbor (index 1) is 0 and right neighbor (index 3) is 0 → plant a flower here.
    • Set flowerbed[2] = 1 and increment count to 1.
  • Since count equals n, return true.

The updated flowerbed becomes [1, 0, 1, 0, 1].

Common Mistakes

  • Ignoring Boundaries:
    Failing to check if the current index is at the start or end of the array may cause an index out-of-bound error.
  • Not Updating the Array:
    Forgetting to mark the plot as planted (setting it to 1) after planting a flower may lead to an incorrect count.
  • Overplanting:
    Not skipping correctly after planting may result in adjacent flowers, which violates the rules.

Edge Cases

  • No Available Spots:
    When the flowerbed is full or nearly full, the algorithm should correctly return false.
  • n Equals 0:
    If no new flowers need to be planted, the function should immediately return true.
  • Single Plot Flowerbed:
    Handle cases where the flowerbed contains only one plot.
  • Modified Constraints:
    Variants might involve different rules for adjacent planting or multiple types of flowers.
  • Other Greedy Problems:
    Similar greedy techniques can be applied to interval scheduling, seating arrangements, or resource allocation problems.
  • Gas Station
  • Jump Game
  • Container With Most Water
  • Merge Intervals
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