Below is the implementation of the number pattern generator:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106/** * 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 casesconsole.log(generate(5));// [[1], [1, 1], [1, 2, 1], [1, 3, 3, 1], [1, 4, 6, 4, 1]] console.log(generate(1));// [[1]]
Let's break down the implementation:
Implement the number pattern generator solution in different programming languages.
Below is the implementation of the number pattern generator in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106/** * 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 casesconsole.log(generate(5));// [[1], [1, 1], [1, 2, 1], [1, 3, 3, 1], [1, 4, 6, 4, 1]] console.log(generate(1));// [[1]]
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.
Recognize that each row starts and ends with 1, and each middle element is the sum of the two elements above it.
Start with the first row [1] and build subsequent rows based on the pattern.
For each row, start with 1, calculate the middle elements based on the previous row, and end with 1.
Consider edge cases like numRows = 1, where we only need to return [[1]].
Consider alternative approaches like using the mathematical formula for binomial coefficients or dynamic programming.
Verify the solution with different test cases, including the provided examples.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the number pattern generator problem using a different approach than shown above.
When numRows is 1, we should return just the first row [[1]].
For large values of numRows, be careful about integer overflow in the mathematical approach.
Below is the implementation of the number pattern generator:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106/** * 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 casesconsole.log(generate(5));// [[1], [1, 1], [1, 2, 1], [1, 3, 3, 1], [1, 4, 6, 4, 1]] console.log(generate(1));// [[1]]
Let's break down the implementation:
Implement the number pattern generator solution in different programming languages.
Below is the implementation of the number pattern generator in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106/** * 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 casesconsole.log(generate(5));// [[1], [1, 1], [1, 2, 1], [1, 3, 3, 1], [1, 4, 6, 4, 1]] console.log(generate(1));// [[1]]
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.
Recognize that each row starts and ends with 1, and each middle element is the sum of the two elements above it.
Start with the first row [1] and build subsequent rows based on the pattern.
For each row, start with 1, calculate the middle elements based on the previous row, and end with 1.
Consider edge cases like numRows = 1, where we only need to return [[1]].
Consider alternative approaches like using the mathematical formula for binomial coefficients or dynamic programming.
Verify the solution with different test cases, including the provided examples.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the number pattern generator problem using a different approach than shown above.
When numRows is 1, we should return just the first row [[1]].
For large values of numRows, be careful about integer overflow in the mathematical approach.