Amortized Analysis
Amortized analysis provides a more accurate way to analyze the time complexity of algorithms by considering the average performance over a sequence of operations, including powerful techniques like two pointers and sliding window.
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This comprehensive guide on amortized analysis will cover:
Topics to be covered:
- Two pointer technique
- Sliding window method
- Finding nearest smaller/larger elements
- Subarray problems
- Stack-based amortized algorithms
- Dynamic array analysis
- Union-Find amortized complexity