Explain the concept of time and space complexity

Question

Accepted Answer

Time complexity refers to the amount of time an algorithm takes to run, while space complexity refers to the amount of memory it requires.

Time complexity measures the efficiency of an algorithm in terms of the time it takes to execute as the input size increases.
Space complexity measures the efficiency of an algorithm in terms of the amount of memory it requires as the input size increases.
Time complexity is commonly expressed using Big O notation, such as O(n) or O(n^2), where n represents the input size.
Space complexity is also commonly expressed using Big O notation, such as O(1) or O(n), where n represents the input size.
For example, an algorithm with a time complexity of O(n) means that the time it takes to run the algorithm increases linearly with the input size.
Similarly, an algorithm with a space complexity of O(n) means that the amount of memory it requires increases linearly with the input size.

Popular interview questions of Technician