Leetcode 1017: Convert to Base -2
Given a non-negative integer n, return its binary representation in base -2. The binary string should not have leading zeros unless the result is zero.
Problem
Approach
Steps
Complexity
Input: You are given a non-negative integer n.
Example: n = 5
Constraints:
• 0 <= n <= 10^9
Output: Return the binary representation of n in base -2 as a string.
Example: Output: '1101'
Constraints:
• The output should be a binary string with no leading zeros unless the result is '0'.
Goal: The goal is to convert the integer n into a binary representation in base -2.
Steps:
• While n is non-zero, repeatedly divide n by -2 and record the remainders.
• At each step, append the remainder (0 or 1) to the result string.
• For negative n, adjust the division to ensure the remainder is correctly calculated.
Goal: Consider the constraints of n, as the number can be as large as 10^9.
Steps:
• n is a non-negative integer, where 0 <= n <= 10^9.
Assumptions:
• The input value n is guaranteed to be a valid non-negative integer.
• Input: Input: n = 2
• Explanation: In base -2, 2 is represented as '110', since (-2)^2 + (-2)^1 = 2.
• Input: Input: n = 3
• Explanation: In base -2, 3 is represented as '111', since (-2)^2 + (-2)^1 + (-2)^0 = 3.
• Input: Input: n = 4
• Explanation: In base -2, 4 is represented as '100', since (-2)^2 = 4.
Approach: The solution uses repeated division by -2, adjusting for negative remainders, and constructs the binary representation step by step.
Observations:
• We need to handle negative bases while ensuring that the binary representation is valid.
• The key challenge is ensuring that the remainder during division is correctly computed for base -2, especially for negative n.
Steps:
• 1. Initialize an empty string to store the result.
• 2. While n is non-zero, perform the following steps:
• a. Compute the remainder when n is divided by -2.
• b. Append the remainder (either 0 or 1) to the result string.
• c. Adjust n for the next iteration using integer division by -2.
• 3. If the result string is empty, return '0'. Otherwise, return the result string.
Empty Inputs:
• When n is 0, the output should be '0'.
Large Inputs:
• When n is very large (e.g., 10^9), the solution should still work efficiently without exceeding time or space limits.
Special Values:
• Ensure that the result does not contain leading zeros unless the value of n is 0.
Constraints:
• The solution must handle n up to 10^9 without performance issues.
string baseNeg2(int n) {
string res = "";
while(n) {
res = to_string(n&1) + res;
n = -(n >> 1);
}
return res == ""? "0":res;
}
1 : Function Declaration
string baseNeg2(int n) {
Declares the function `baseNeg2` that takes an integer `n` as input and returns a string representing the base -2 representation of `n`.
2 : Variable Initialization
string res = "";
Initializes an empty string `res` to store the result of the base -2 conversion.
3 : While Loop Start
while(n) {
Starts a while loop that continues until `n` becomes 0. The loop will calculate the binary digits of `n` in base -2.
4 : Binary Calculation
res = to_string(n&1) + res;
Calculates the least significant bit (LSB) of `n` by performing a bitwise AND with 1 (`n & 1`), converts it to a string, and appends it to the front of `res`.
5 : Shift and Negate
n = -(n >> 1);
Performs a right shift on `n` by 1 bit (`n >> 1`) to prepare for the next iteration. The result is negated (`-`) because the number is in base -2.
6 : Return Statement
return res == ""? "0":res;
Checks if the result string `res` is empty (which means the input was 0) and returns "0". Otherwise, it returns the constructed base -2 representation stored in `res`.
Best Case: O(log n)
Average Case: O(log n)
Worst Case: O(log n)
Description: The time complexity is O(log n) since the number of divisions required is proportional to the logarithm of n.
Best Case: O(log n)
Worst Case: O(log n)
Description: The space complexity is O(log n) due to the space needed for storing the binary representation of n.
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