What is algorithm efficiency?
Algorithmic efficiency measures how well an algorithm performs regarding time and space complexity. It relates to the amount of computational resources (time and memory) an algorithm uses.
How to calculate algorithm efficiency?
Algorithmic efficiency is measured through time complexity and space complexity.
Time Complexity:
It is estimated by counting the number of elementary operations an algorithm performs. Time complexity is expressed as a function of the input size using Big O notation.
Example: A single loop has linear time complexity (O(n)), while nested loops have quadratic time complexity (O(n^2)).
Key factors to consider when determining algorithmic efficiency
- Choice of data structures: Appropriate data structures can significantly impact algorithm efficiency
- Problem understanding: Defining the problem clearly before coding helps you avoid inefficient solutions
- Context-specific requirements: Different contexts may require different trade-offs between time, space, accuracy, and reliability
- Testing and evaluation: Selecting algorithms without proper testing and performance evaluation leads to suboptimal results
