**TE Measures After Round 4**

In the world of competitive programming, there is no shortage of challenges to overcome. One such challenge is the problem-solving skills required to solve problems in a time limit. This is where Time-Exceeded (TE) measures come into play.

TE measures are used to measure how well a program solves a given problem within a set time limit. The goal of solving a problem efficiently is not just about finding a solution quickly, but also about minimizing the amount of resources needed to do so. TE measures help us understand the trade-offs between efficiency and resource usage, allowing us to optimize our solutions for maximum performance.

There are several different types of TE measures that can be used to evaluate a program's performance. Some common ones include:

* CPU time: This measures the total amount of time taken by a program to run on a particular machine.

* Memory usage: This measures the amount of memory used by a program during its execution.

* I/O operations: This measures the number of input/output operations performed by a program during its execution.

By using these measures, we can gain valuable insights into the performance characteristics of our programs. For example, if we find that our program takes longer than expected to execute on a particular machine, we may need to investigate why this is happening and make adjustments to our code accordingly.

Overall, TE measures are an important tool for evaluating the performance of our programs. By understanding how our programs perform under various conditions, we can identify areas for improvement and develop more efficient algorithms and data structures. In conclusion, understanding the importance of TE measures and how they can be used to improve our program's performance is crucial for success in competitive programming.