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Big Tech Principal Engineer Interview Prep
·
Module 1
Complexity Analysis & Problem Constraints
1
From Constraints to Complexity: Navigating Problem Bounds
Translate problem constraints (input size, time limits) into acceptable complexity bounds.
2
Analyzing Loop Structures for Big-O Time Complexity
Derive Big-O time complexity for iterative algorithms by analyzing loop structures.
3
Big-O Space Complexity: Memory Allocation Analysis
Derive Big-O space complexity by identifying memory allocations relative to input size.
4
Analyzing Recursive Algorithms with Recurrence Relations
Analyze recursive algorithm complexity using recurrence relations.
5
Mastering Recurrence Relations with the Master Theorem
Apply the Master Theorem to analyze divide-and-conquer recurrence relations.
6
Amortized Analysis: Aggregate and Accounting Methods
Explain amortized analysis using the aggregate and accounting methods.
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