Unit 1: Understanding Big O Basics
Big O Notation: Mastering Time and Space Complexity
Unlock the power of Big O notation to analyze and optimize algorithm performance, enabling you to write efficient and scalable code.
Unit 1: Constant and Logarithmic Complexity
Unit 2: Linear and Linearithmic Complexity
Unit 3: Quadratic, Exponential, and Factorial Complexity
Unit 4: Dominant Terms and Scenario Analysis
Unit 1: Arrays, Linked Lists, Stacks, and Queues
Unit 2: Hash Tables
Unit 3: Trees and Graphs
Unit 4: Space Complexity Deep Dive
Unit 1: Recursive Algorithm Analysis
Unit 2: Space Complexity Deep Dive
Unit 3: Big O in Real-World Applications
Unit 4: Amortized Analysis