Introduction to Time Complexity (Blog Created by Dibakar Roy)
Introduction to Time Complexity (Blog Created by Dibakar Roy) Time Complexity is an important concept in programming that measures how much time an algorithm takes to run as the input size increases. It helps programmers write faster and more efficient programs. What is Time Complexity? Time Complexity shows the performance of an algorithm using Big O Notation. It helps compare different solutions for the same problem. Common complexities are: O(1) → Constant Time O(n) → Linear Time O(log n) → Logarithmic Time O(n²) → Quadratic Time Features of Time Complexity: 1. Measures Efficiency: It helps identify whether a program is fast or slow. 2. Compares Algorithms: Programmers can choose the best algorithm for a problem. 3. Improves Performance: Optimized algorithms reduce execution time and system load. 4. Important in Coding Interviews: Time complexity is widely used in technical interviews and competitive programming. Common Types of Time Complexity: Constant Time — O(1) : The execu...