What is the difference between time complexity and space complexity in C++?

What is the difference between time complexity and space complexity in C++?

Time complexity measures how the runtime of an algorithm increases with input size, while space complexity measures the memory usage.

Can you give me examples of algorithms with different time and space complexities?

Sure! For example, a binary search has a time complexity of O(log n) and a space complexity of O(1). In contrast, a merge sort has a time complexity of O(n log n) and a space complexity of O(n).

How do I analyze the time and space complexity of my C++ code?

You can analyze time complexity by counting the number of operations in relation to input size, and space complexity by evaluating the memory used by variables and data structures.

Are there any trade-offs between time and space complexity?

Yes, often optimizing for time complexity can increase space complexity and vice versa. It's important to find a balance based on your application's needs.