📚
Basics
Basics in Fundamentals
Big-O Notation
Easy#Basics#Theory
→
O(1) - Constant Time
Easy#Basics#Complexity
→
O(2^n) - Exponential Time
Medium#Complexity#Exponential#Subsets
→
O(n) - Linear Time
Easy#Complexity#Linear Search#Array
→
O(log n) - Logarithmic Time
Easy#Complexity#Binary Search#Logarithm
→
O(n log n) - Linearithmic Time
Medium#Complexity#Divide & Conquer#Sorting
→
O(n²) - Quadratic Time
Easy#Complexity#Nested Loops
→
O(√n) - Square Root Time
Easy#Basics#Complexity
→