When should I use approximate algorithms?

When should I consider using approximate algorithms instead of exact ones?

Approximate algorithms are useful when exact solutions are too costly or time-consuming to compute.

Can you give me an example of a problem where approximate algorithms are beneficial?

Sure! The Traveling Salesman Problem is a classic example where approximate algorithms can provide good solutions quickly.

What are the trade-offs of using approximate algorithms?

The main trade-off is between accuracy and efficiency; approximate algorithms may not always provide the optimal solution.

How do I choose the right approximate algorithm for my problem?

Consider the problem size, required accuracy, and available computational resources to select the most suitable algorithm.