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Chapter
Exploring the Infinite: Introduction to Complexity Theory
Understanding the limits of computation is crucial. This chapter gently introduces the concepts of time and space complexity, Big O notation, and the fundamental differences between solvable and computationally intractable problems.
- 01
What is Complexity Theory and Why Should We Care?
- 02
Measuring the 'Hardness': Time and Space Complexity
- 03
Big O Notation: A Common Language for Efficiency
- 04
The Algorithm's Playground: Common Complexity Classes
- 05
Beyond the 'Easy' Problems: Introducing NP-Completeness
- 06
The P vs. NP Question: A Million Dollar Mystery
- 07
Navigating the Maze: Strategies for Dealing with Hard Problems