2579. Count Total Number of Colored Cells - Detailed Explanation
Problem Statement
Imagine you start with one colored cell. Then, in every subsequent step (or “layer”), you add cells around the previously colored pattern. The way the pattern grows is that the first cell forms the center (layer 1), and for each new layer from 2 to n, you add cells in such a way that the number of new cells added is proportional to the layer. Through analysis, you can derive that the total number of colored cells after n layers is given by the formula:
This formula is equivalent to:
Example Inputs & Outputs:
-
Example 1:
- Input:
n = 1
- Output:
1
- Explanation:
The pattern starts with a single cell. No additional layers are added when n = 1.
- Input:
-
Example 2:
- Input:
n = 2
- Output:
5
- Explanation:
- Layer 1: 1 cell
- Layer 2: Adds 4 new cells (one on each side of the center)
- Total = 1 + 4 = 5
- Input:
-
Example 3:
- Input:
n = 3
- Output:
13
- Explanation:
- Layer 1: 1 cell
- Layer 2: Adds 4 cells → Total becomes 5
- Layer 3: Adds 8 cells (each new layer adds 4 more cells than the previous layer) → Total becomes 5 + 8 = 13
- Input:
Constraints:
- n is a positive integer (for example, (1 \leq n \leq 10^5)).
- The solution should work efficiently even for large values of n.
Hints Before the Full Solution
-
Hint 1:
Think about the pattern layer by layer. The first layer is just one cell, and every new layer wraps around the previous pattern. Notice that the number of cells added at each new layer forms an arithmetic progression. -
Hint 2:
Realize that the number of cells added in layer ( i ) (for ( i \geq 2 )) is given by:4 \times (i - 1)
Then, sum these values along with the initial 1 cell. This observation leads you to a summation that can be simplified into a closed-form formula.
Approaches to Solve the Problem
1. Brute Force / Simulation Approach
Idea:
- Simulate each layer by “drawing” it or counting the cells added step-by-step.
- Start with 1 cell, then for each subsequent layer, add ( 4 \times (i - 1) ) cells.
Step-by-Step:
- Layer 1: 1 cell.
- Layer 2: Add ( 4 \times (2-1) = 4 ) cells.
- Layer 3: Add ( 4 \times (3-1) = 8 ) cells.
- … and so on until layer n.
Pseudo-code:
def coloredCells(n): total = 1 # layer 1 for i in range(2, n + 1): total += 4 * (i - 1) return total
Drawback:
- Although simple and intuitive, this simulation runs in O(n) time. For very large n, this is less efficient than necessary.
2. Optimal Mathematical Derivation
Observation:
-
The total number of colored cells is the sum of cells from each layer:
\text{Total} = 1 + \sum_{i=2}^{n} 4 \times (i - 1) -
Recognize that the sum:
\sum_{i=2}^{n} (i - 1)is equivalent to the sum of the first ((n-1)) natural numbers:
\sum_{j=1}^{n-1} j = \frac{(n-1)n}{2} -
Therefore, substitute back into the total formula:
\text{Total} = 1 + 4 \times \frac{(n-1)n}{2}which simplifies to:
\text{Total} = 1 + 2n(n-1) = 2n^2 - 2n + 1 -
Note that this is equivalent to:
\text{Total Colored Cells} = n^2 + (n-1)^2
Time Complexity:
- O(1) – The answer is computed directly using the formula.
Code Implementation
Python Code
Java Code
Complexity Analysis
-
Time Complexity:
The mathematical formula is computed in O(1) time, meaning it runs in constant time regardless of the size of n. -
Space Complexity:
O(1) – Only a few variables are used, and no extra space is needed as the solution does not depend on n.
Step-by-Step Walkthrough & Visual Explanation
- Understanding the Pattern:
- Layer 1:
- Only 1 cell is colored.
- Visual:
*
- Layer 2:
- 4 new cells are added around the central cell.
- Visual (conceptual view, imagine the center and its 4 adjacent cells):
* * * * *
- Layer 3:
- 8 new cells are added (each new layer adds 4 more cells than the previous layer).
- Total = 1 (layer 1) + 4 (layer 2) + 8 (layer 3) = 13 cells.
- Layer 1:
- Summation Explanation:
-
For every new layer ( i ) (starting from 2), the number of new cells is:
4 \times (i - 1)
-
Sum these cells:
\text{Total} = 1 + \sum_{i=2}^{n} 4 \times (i - 1)
-
Use the arithmetic series sum for the part (\sum_{i=2}^{n} (i - 1)):
\sum_{j=1}^{n-1} j = \frac{(n-1)n}{2}
-
Plugging this back into the formula:
\text{Total} = 1 + 4 \times \frac{(n-1)n}{2} = 1 + 2n(n-1) = 2n^2 - 2n + 1
-
Common Mistakes & Edge Cases
-
Common Mistakes:
- Over-Simulation:
Attempting to generate and count cells one-by-one (e.g., using nested loops to simulate a grid) which is unnecessary and inefficient. - Incorrect Summation:
Failing to recognize the arithmetic progression in the added cells, leading to off-by-one errors. - Misinterpretation of the Pattern:
Some may mistakenly assume a more complex structure, not realizing that the pattern directly leads to the simple formula.
- Over-Simulation:
-
Edge Cases:
- n = 1:
Ensure that the solution correctly returns 1. - Large n:
A brute force simulation would be too slow. The formula handles large inputs efficiently.
- n = 1:
Alternative Variations and Related Problems
-
Variations of the Problem:
- Printing the Pattern:
Instead of counting cells, you might be asked to output the grid showing which cells are colored. - Different Coloring Schemes:
Problems where the pattern grows differently (e.g., spiral patterns or zigzag patterns).
- Printing the Pattern:
-
Related Problems for Further Practice:
-
Spiral Matrix (LeetCode #54):
Practice simulating and understanding patterns in a matrix. -
Pascal's Triangle (LeetCode #118):
Work with arithmetic and geometric patterns. -
Matrix Diagonal Sum (LeetCode #1572):
Learn to sum elements along specific parts of a matrix. -
Number of Islands (LeetCode #200):
A different twist on grid-based problems where you count connected regions.
-
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