Below is the implementation of the square number decomposition:
1234567891011121314151617181920212223242526/** * Two Pointers Approach * Time Complexity: O(√c) - We iterate through at most √c pairs of numbers * Space Complexity: O(1) - We only use a constant amount of space * * @param {number} c - The target number * @return {boolean} - Whether c can be expressed as the sum of two squares */function judgeSquareSum(c) { let a = 0; let b = Math.floor(Math.sqrt(c)); while (a <= b) { const sum = a * a + b * b; if (sum === c) { return true; } else if (sum < c) { a++; } else { b--; } } return false;}
Let's break down the implementation:
Implement the square number decomposition solution in different programming languages.
Below is the implementation of the square number decomposition in different programming languages. Select a language tab to view the corresponding code.
1234567891011121314151617181920212223242526/** * Two Pointers Approach * Time Complexity: O(√c) - We iterate through at most √c pairs of numbers * Space Complexity: O(1) - We only use a constant amount of space * * @param {number} c - The target number * @return {boolean} - Whether c can be expressed as the sum of two squares */function judgeSquareSum(c) { let a = 0; let b = Math.floor(Math.sqrt(c)); while (a <= b) { const sum = a * a + b * b; if (sum === c) { return true; } else if (sum < c) { a++; } else { b--; } } return false;}
First, understand that we need to determine if a given non-negative integer c can be expressed as the sum of two perfect squares.
Initialize two pointers: a starting from 0 and b starting from the square root of c.
Use a while loop to iterate while a ≤ b, calculating the sum of squares at each step and adjusting the pointers accordingly.
If the sum of squares equals c, return true. If it's less than c, increment a. If it's greater than c, decrement b.
Consider edge cases such as c = 0 or c = 1, which have straightforward solutions.
Ensure that the solution works efficiently for large values of c by using appropriate data types and algorithms.
Verify the solution with the provided examples and additional test cases.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the square number decomposition problem using a different approach than shown above.
The number 0 can be expressed as 0² + 0² = 0.
The number 1 can be expressed as 0² + 1² = 1.
The number 2 can be expressed as 1² + 1² = 2.
The number 3 cannot be expressed as the sum of two squares.
For large values of c, we need to be careful about integer overflow when calculating a² + b².
Below is the implementation of the square number decomposition:
1234567891011121314151617181920212223242526/** * Two Pointers Approach * Time Complexity: O(√c) - We iterate through at most √c pairs of numbers * Space Complexity: O(1) - We only use a constant amount of space * * @param {number} c - The target number * @return {boolean} - Whether c can be expressed as the sum of two squares */function judgeSquareSum(c) { let a = 0; let b = Math.floor(Math.sqrt(c)); while (a <= b) { const sum = a * a + b * b; if (sum === c) { return true; } else if (sum < c) { a++; } else { b--; } } return false;}
Let's break down the implementation:
Implement the square number decomposition solution in different programming languages.
Below is the implementation of the square number decomposition in different programming languages. Select a language tab to view the corresponding code.
1234567891011121314151617181920212223242526/** * Two Pointers Approach * Time Complexity: O(√c) - We iterate through at most √c pairs of numbers * Space Complexity: O(1) - We only use a constant amount of space * * @param {number} c - The target number * @return {boolean} - Whether c can be expressed as the sum of two squares */function judgeSquareSum(c) { let a = 0; let b = Math.floor(Math.sqrt(c)); while (a <= b) { const sum = a * a + b * b; if (sum === c) { return true; } else if (sum < c) { a++; } else { b--; } } return false;}
First, understand that we need to determine if a given non-negative integer c can be expressed as the sum of two perfect squares.
Initialize two pointers: a starting from 0 and b starting from the square root of c.
Use a while loop to iterate while a ≤ b, calculating the sum of squares at each step and adjusting the pointers accordingly.
If the sum of squares equals c, return true. If it's less than c, increment a. If it's greater than c, decrement b.
Consider edge cases such as c = 0 or c = 1, which have straightforward solutions.
Ensure that the solution works efficiently for large values of c by using appropriate data types and algorithms.
Verify the solution with the provided examples and additional test cases.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the square number decomposition problem using a different approach than shown above.
The number 0 can be expressed as 0² + 0² = 0.
The number 1 can be expressed as 0² + 1² = 1.
The number 2 can be expressed as 1² + 1² = 2.
The number 3 cannot be expressed as the sum of two squares.
For large values of c, we need to be careful about integer overflow when calculating a² + b².