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Code Implementation

Number Pattern Generator Implementation

Below is the implementation of the number pattern generator:

solution.js
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/**
* Iterative Row-by-Row Construction
* Time Complexity: O(n²) - We generate n rows with a total of n(n+1)/2 elements
* Space Complexity: O(n²) - We store all elements of the triangle
*
* @param {number} numRows - Number of rows to generate
* @return {number[][]} - Pascal's Triangle with numRows rows
*/
function generate(numRows) {
// Initialize result with the first row
const result = [[1]];
// Generate each row based on the previous row
for (let i = 1; i < numRows; i++) {
// Start with 1
const row = [1];
// Calculate middle elements
for (let j = 1; j < i; j++) {
row.push(result[i - 1][j - 1] + result[i - 1][j]);
}
// End with 1
row.push(1);
// Add row to result
result.push(row);
}
return result;
}
/**
* Mathematical Formula (Binomial Coefficients)
* Time Complexity: O(n²) - We still generate n rows with a total of n(n+1)/2 elements
* Space Complexity: O(n²) - We store all elements of the triangle
*
* @param {number} numRows - Number of rows to generate
* @return {number[][]} - Pascal's Triangle with numRows rows
*/
function generateMathematical(numRows) {
const result = [];
for (let i = 0; i < numRows; i++) {
const row = [];
// First element is always 1
let value = 1;
row.push(value);
// Calculate remaining elements using the formula
for (let j = 1; j <= i; j++) {
value = value * (i - j + 1) / j;
row.push(value);
}
result.push(row);
}
return result;
}
/**
* Dynamic Programming Approach
* Time Complexity: O(n²) - We fill a triangular portion of a 2D array
* Space Complexity: O(n²) - We use a 2D array of size numRows × numRows
*
* @param {number} numRows - Number of rows to generate
* @return {number[][]} - Pascal's Triangle with numRows rows
*/
function generateDP(numRows) {
// Initialize DP array
const dp = Array(numRows).fill().map(() => Array(numRows).fill(0));
// Base case
dp[0][0] = 1;
// Fill the DP array
for (let i = 1; i < numRows; i++) {
dp[i][0] = 1; // First element
dp[i][i] = 1; // Last element
for (let j = 1; j < i; j++) {
dp[i][j] = dp[i - 1][j - 1] + dp[i - 1][j];
}
}
// Convert to result format
const result = [];
for (let i = 0; i < numRows; i++) {
const row = [];
for (let j = 0; j <= i; j++) {
row.push(dp[i][j]);
}
result.push(row);
}
return result;
}
// Test cases
console.log(generate(5));
// [[1], [1, 1], [1, 2, 1], [1, 3, 3, 1], [1, 4, 6, 4, 1]]
console.log(generate(1));
// [[1]]

Step-by-Step Explanation

Let's break down the implementation:

  1. 1. Understand the Problem: First, understand that we need to generate the first numRows of Pascal's Triangle, where each number is the sum of the two numbers directly above it.
  2. 2. Identify the Pattern: Recognize that each row starts and ends with 1, and each middle element is the sum of the two elements above it.
  3. 3. Initialize the Result: Start with the first row [1] and build subsequent rows based on the pattern.
  4. 4. Generate Each Row: For each row, start with 1, calculate the middle elements based on the previous row, and end with 1.
  5. 5. Handle Edge Cases: Consider edge cases like numRows = 1, where we only need to return [[1]].
  6. 6. Optimize if Needed: Consider alternative approaches like using the mathematical formula for binomial coefficients or dynamic programming.
  7. 7. Test the Solution: Verify the solution with different test cases, including the provided examples.
ProblemSolutionCode
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