Below is the implementation of the row extractor:
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283/** * Generate Full Triangle Approach * Time Complexity: O(rowIndex²) - We generate rowIndex rows with a total of O(rowIndex²) elements * Space Complexity: O(rowIndex) - We only store the current row * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowFullTriangle(rowIndex) { // Initialize result with the first row let result = [1]; // Generate each row based on the previous row for (let i = 1; i <= rowIndex; i++) { // Create a new row const row = [1]; // Calculate middle elements for (let j = 1; j < i; j++) { row.push(result[j - 1] + result[j]); } // End with 1 row.push(1); // Replace result with the new row result = row; } return result;} /** * Iterative In-Place Calculation Approach * Time Complexity: O(rowIndex²) - We still perform calculations for each element * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowInPlace(rowIndex) { // Initialize array with all 1s const row = new Array(rowIndex + 1).fill(1); // Update the array in-place for (let i = 2; i <= rowIndex; i++) { // Update from right to left for (let j = i - 1; j >= 1; j--) { row[j] = row[j] + row[j - 1]; } } return row;} /** * Mathematical Formula (Binomial Coefficients) Approach * Time Complexity: O(rowIndex) - We calculate each element in the row once * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRow(rowIndex) { // Initialize array const row = new Array(rowIndex + 1); // First element is always 1 row[0] = 1; // Calculate remaining elements using the formula for (let j = 1; j <= rowIndex; j++) { row[j] = row[j - 1] * (rowIndex - j + 1) / j; } return row;} // Test casesconsole.log(getRow(3)); // [1, 3, 3, 1]console.log(getRow(0)); // [1]console.log(getRow(1)); // [1, 1]console.log(getRow(4)); // [1, 4, 6, 4, 1]
Let's break down the implementation:
Implement the row extractor solution in different programming languages.
Below is the implementation of the row extractor in different programming languages. Select a language tab to view the corresponding code.
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283/** * Generate Full Triangle Approach * Time Complexity: O(rowIndex²) - We generate rowIndex rows with a total of O(rowIndex²) elements * Space Complexity: O(rowIndex) - We only store the current row * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowFullTriangle(rowIndex) { // Initialize result with the first row let result = [1]; // Generate each row based on the previous row for (let i = 1; i <= rowIndex; i++) { // Create a new row const row = [1]; // Calculate middle elements for (let j = 1; j < i; j++) { row.push(result[j - 1] + result[j]); } // End with 1 row.push(1); // Replace result with the new row result = row; } return result;} /** * Iterative In-Place Calculation Approach * Time Complexity: O(rowIndex²) - We still perform calculations for each element * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowInPlace(rowIndex) { // Initialize array with all 1s const row = new Array(rowIndex + 1).fill(1); // Update the array in-place for (let i = 2; i <= rowIndex; i++) { // Update from right to left for (let j = i - 1; j >= 1; j--) { row[j] = row[j] + row[j - 1]; } } return row;} /** * Mathematical Formula (Binomial Coefficients) Approach * Time Complexity: O(rowIndex) - We calculate each element in the row once * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRow(rowIndex) { // Initialize array const row = new Array(rowIndex + 1); // First element is always 1 row[0] = 1; // Calculate remaining elements using the formula for (let j = 1; j <= rowIndex; j++) { row[j] = row[j - 1] * (rowIndex - j + 1) / j; } return row;} // Test casesconsole.log(getRow(3)); // [1, 3, 3, 1]console.log(getRow(0)); // [1]console.log(getRow(1)); // [1, 1]console.log(getRow(4)); // [1, 4, 6, 4, 1]
First, understand that we need to return the rowIndex-th row of Pascal's Triangle, where rowIndex is 0-indexed.
Note the follow-up requirement to use only O(rowIndex) extra space, which means we should avoid generating the entire triangle.
We can either generate the full triangle and return the last row, calculate the row in-place, or use the mathematical formula for binomial coefficients.
For the in-place calculation, initialize an array of 1s and update it from right to left to avoid overwriting values before they're used.
Consider edge cases like rowIndex = 0 and rowIndex = 1, which should return [1] and [1,1] respectively.
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 row extractor problem using a different approach than shown above.
When rowIndex is 0, we should return just [1].
For large values of rowIndex, be careful about integer overflow in the mathematical approach.
Below is the implementation of the row extractor:
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283/** * Generate Full Triangle Approach * Time Complexity: O(rowIndex²) - We generate rowIndex rows with a total of O(rowIndex²) elements * Space Complexity: O(rowIndex) - We only store the current row * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowFullTriangle(rowIndex) { // Initialize result with the first row let result = [1]; // Generate each row based on the previous row for (let i = 1; i <= rowIndex; i++) { // Create a new row const row = [1]; // Calculate middle elements for (let j = 1; j < i; j++) { row.push(result[j - 1] + result[j]); } // End with 1 row.push(1); // Replace result with the new row result = row; } return result;} /** * Iterative In-Place Calculation Approach * Time Complexity: O(rowIndex²) - We still perform calculations for each element * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowInPlace(rowIndex) { // Initialize array with all 1s const row = new Array(rowIndex + 1).fill(1); // Update the array in-place for (let i = 2; i <= rowIndex; i++) { // Update from right to left for (let j = i - 1; j >= 1; j--) { row[j] = row[j] + row[j - 1]; } } return row;} /** * Mathematical Formula (Binomial Coefficients) Approach * Time Complexity: O(rowIndex) - We calculate each element in the row once * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRow(rowIndex) { // Initialize array const row = new Array(rowIndex + 1); // First element is always 1 row[0] = 1; // Calculate remaining elements using the formula for (let j = 1; j <= rowIndex; j++) { row[j] = row[j - 1] * (rowIndex - j + 1) / j; } return row;} // Test casesconsole.log(getRow(3)); // [1, 3, 3, 1]console.log(getRow(0)); // [1]console.log(getRow(1)); // [1, 1]console.log(getRow(4)); // [1, 4, 6, 4, 1]
Let's break down the implementation:
Implement the row extractor solution in different programming languages.
Below is the implementation of the row extractor in different programming languages. Select a language tab to view the corresponding code.
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283/** * Generate Full Triangle Approach * Time Complexity: O(rowIndex²) - We generate rowIndex rows with a total of O(rowIndex²) elements * Space Complexity: O(rowIndex) - We only store the current row * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowFullTriangle(rowIndex) { // Initialize result with the first row let result = [1]; // Generate each row based on the previous row for (let i = 1; i <= rowIndex; i++) { // Create a new row const row = [1]; // Calculate middle elements for (let j = 1; j < i; j++) { row.push(result[j - 1] + result[j]); } // End with 1 row.push(1); // Replace result with the new row result = row; } return result;} /** * Iterative In-Place Calculation Approach * Time Complexity: O(rowIndex²) - We still perform calculations for each element * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRowInPlace(rowIndex) { // Initialize array with all 1s const row = new Array(rowIndex + 1).fill(1); // Update the array in-place for (let i = 2; i <= rowIndex; i++) { // Update from right to left for (let j = i - 1; j >= 1; j--) { row[j] = row[j] + row[j - 1]; } } return row;} /** * Mathematical Formula (Binomial Coefficients) Approach * Time Complexity: O(rowIndex) - We calculate each element in the row once * Space Complexity: O(rowIndex) - We use a single array of size rowIndex+1 * * @param {number} rowIndex - The index of the row to return (0-indexed) * @return {number[]} - The rowIndex-th row of Pascal's Triangle */function getRow(rowIndex) { // Initialize array const row = new Array(rowIndex + 1); // First element is always 1 row[0] = 1; // Calculate remaining elements using the formula for (let j = 1; j <= rowIndex; j++) { row[j] = row[j - 1] * (rowIndex - j + 1) / j; } return row;} // Test casesconsole.log(getRow(3)); // [1, 3, 3, 1]console.log(getRow(0)); // [1]console.log(getRow(1)); // [1, 1]console.log(getRow(4)); // [1, 4, 6, 4, 1]
First, understand that we need to return the rowIndex-th row of Pascal's Triangle, where rowIndex is 0-indexed.
Note the follow-up requirement to use only O(rowIndex) extra space, which means we should avoid generating the entire triangle.
We can either generate the full triangle and return the last row, calculate the row in-place, or use the mathematical formula for binomial coefficients.
For the in-place calculation, initialize an array of 1s and update it from right to left to avoid overwriting values before they're used.
Consider edge cases like rowIndex = 0 and rowIndex = 1, which should return [1] and [1,1] respectively.
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 row extractor problem using a different approach than shown above.
When rowIndex is 0, we should return just [1].
For large values of rowIndex, be careful about integer overflow in the mathematical approach.