Understanding time complexity is important but can be tricky, especially when we try to make algorithms work better with data structures.

Here are some challenges:

1. Difficulties:
   • Complex Analysis: Figuring out the best, worst, and average cases can be complicated and sometimes confusing.
   • Algorithm Diversity: Different algorithms can behave in different ways, even for the same task.

Now, let’s look at some solutions:

2. Solutions:
   • Profiling Tools: Use simple tools to check how well your algorithms perform.
   • Benchmarking: Regularly test your algorithms in different situations. This will help you understand their time complexity better.