3.1 Understanding Time Complexity
If you've ever written a computer program or developed an algorithm, you'll know that there are many approaches you can take to solve a problem. Each approach has its own set of advantages and disadvantages. Some solutions are faster than others, some are more efficient, and some may be more suitable for certain types of inputs than others. However, it's important to note that not all solutions are created equal, and some may not even complete in a reasonable amount of time when dealing with large inputs.
That's where the concept of time complexity comes into play. Time complexity refers to the amount of time it takes for an algorithm to execute, based on the size of the input. This is an important metric to consider when developing algorithms, as it helps estimate the time required to run the algorithm and can be used to optimize it. By understanding the time complexity of an algorithm, you can make informed decisions about which...