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LeetCode 162: Find Peak Element | C# Solution | Binary Search |

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📊 Discover how to efficiently find a peak element in an array where each element is different from its neighbors using binary search. #leetcode #binarysearch #coding #csharp
⏱️ **Optimal Solution Complexity:**
- Time Complexity: O(log n)
- Space Complexity: O(1)
## 📝 Timestamps
00:00 - Understanding problem statement
00:47 - Using Brute Force
01:44 - Using Binary Search Algorithm
05:24 - Big O Notation explained
05:47 - C# solution walk-through
06:35 - Solution analysis - runtime + memory
## 🔍 Key Concepts
- Binary search on unsorted arrays
- Local maximum detection
- Dividing search space by element comparison
- Optimizing through directional movement
#algorithms #binarysearch
## 💡 Main Takeaways
- Understanding how to apply binary search beyond sorted arrays
- Efficiently navigating an array using magnitude comparisons
- Handling boundary conditions in array searches
- Converting O(n) problems to O(log n) solutions
#softwareengineering #interviewprep
## 🔗 Related LeetCode Problems
- LeetCode 153: Find Minimum in Rotated Sorted Array
- LeetCode 852: Peak Index in a Mountain Array
- LeetCode 33: Search in Rotated Sorted Array
- LeetCode 240: Search a 2D Matrix II
## 👥 Target Audience
This video is designed for software engineers preparing for technical interviews, computer science students, and anyone looking to improve their algorithmic problem-solving skills in C#.
## 📚 Prerequisites
- Basic understanding of arrays and binary search
- Familiarity with C# syntax
- Knowledge of time and space complexity concepts
#csharptutorial #codinginterview
## 🔗 Useful Links
## 🙏 Call to Action
If you found this solution helpful, please subscribe for more LeetCode solutions in C#! Drop your questions or alternative approaches in the comments below. #leetcodesolutions #algorithmsandprograms
⏱️ **Optimal Solution Complexity:**
- Time Complexity: O(log n)
- Space Complexity: O(1)
## 📝 Timestamps
00:00 - Understanding problem statement
00:47 - Using Brute Force
01:44 - Using Binary Search Algorithm
05:24 - Big O Notation explained
05:47 - C# solution walk-through
06:35 - Solution analysis - runtime + memory
## 🔍 Key Concepts
- Binary search on unsorted arrays
- Local maximum detection
- Dividing search space by element comparison
- Optimizing through directional movement
#algorithms #binarysearch
## 💡 Main Takeaways
- Understanding how to apply binary search beyond sorted arrays
- Efficiently navigating an array using magnitude comparisons
- Handling boundary conditions in array searches
- Converting O(n) problems to O(log n) solutions
#softwareengineering #interviewprep
## 🔗 Related LeetCode Problems
- LeetCode 153: Find Minimum in Rotated Sorted Array
- LeetCode 852: Peak Index in a Mountain Array
- LeetCode 33: Search in Rotated Sorted Array
- LeetCode 240: Search a 2D Matrix II
## 👥 Target Audience
This video is designed for software engineers preparing for technical interviews, computer science students, and anyone looking to improve their algorithmic problem-solving skills in C#.
## 📚 Prerequisites
- Basic understanding of arrays and binary search
- Familiarity with C# syntax
- Knowledge of time and space complexity concepts
#csharptutorial #codinginterview
## 🔗 Useful Links
## 🙏 Call to Action
If you found this solution helpful, please subscribe for more LeetCode solutions in C#! Drop your questions or alternative approaches in the comments below. #leetcodesolutions #algorithmsandprograms
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