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feat: add Reverse Integer explanation
- Mathematical approach algorithm - Comprehensive problem analysis - Multiple approaches and optimizations - Edge cases and applications
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# Reverse Integer
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## Problem Statement
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Given a signed 32-bit integer `x`, return `x` with its digits reversed. If reversing `x` causes the value to go outside the signed 32-bit integer range `[-2^31, 2^31 - 1]`, then return `0`.
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Assume the environment does not allow you to store 64-bit integers (signed or unsigned).
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## Examples
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**Example 1:**
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```
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Input: x = 123
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Output: 321
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```
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## Approach
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### Method 1: Mathematical Approach (Recommended)
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1. Extract digits using modulo and division
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2. Build result digit by digit
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3. Check for overflow before adding
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4. Most efficient approach
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**Time Complexity:** O(log n) - Number of digits
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**Space Complexity:** O(1) - No extra space
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### Method 2: String Conversion
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1. Convert to string, reverse, convert back
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2. Less efficient than mathematical approach
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**Time Complexity:** O(log n) - String operations
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**Space Complexity:** O(log n) - String storage
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## Algorithm
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```
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1. Initialize result = 0
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2. While x != 0:
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a. Check for overflow before adding
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b. result = result * 10 + x % 10
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c. x = x / 10
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3. Return result
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```
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## Key Insights
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- **Overflow Check**: Check before adding to prevent overflow
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- **Local Optimum**: Extract digits efficiently
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- **Global Optimum**: Reverse number without overflow
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- **Space Optimization**: Use only necessary space
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## Alternative Approaches
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1. **String Conversion**: Convert to string and reverse
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2. **Stack**: Use stack for digit reversal
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3. **Recursive**: Use recursive approach
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## Edge Cases
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- Zero: Return 0
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- Single digit: Return that digit
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- Negative numbers: Handle sign appropriately
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- Overflow: Return 0
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## Applications
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- Number manipulation
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- Overflow handling
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- Algorithm design patterns
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- Interview preparation
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- System design
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## Optimization Opportunities
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- **Mathematical Approach**: Most efficient approach
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- **Space Optimization**: O(1) space complexity
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- **Logarithmic Time**: O(log n) time complexity
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- **No Extra Space**: Use only necessary space

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