What are the differences between heuristic techniques and algorithms?

What are the differences between heuristic techniques and algorithms?

Heuristic techniques are problem-solving methods that use practical approaches for finding solutions, while algorithms are step-by-step procedures or formulas for solving a problem. Heuristics are often faster but less precise, whereas algorithms are systematic and can guarantee a solution.

Can you give me an example of each?

Sure! An example of a heuristic technique is the 'trial and error' method, where you try different solutions until you find one that works. An example of an algorithm is the 'Euclidean algorithm' for finding the greatest common divisor of two numbers, which follows a specific set of steps.

When should I use heuristics instead of algorithms?

You should use heuristics when you need a quick solution and can tolerate some level of inaccuracy, such as in complex or time-sensitive problems. Algorithms are better when you need a precise and guaranteed solution.

Are there any downsides to using heuristics?

Yes, the main downside is that heuristics can lead to suboptimal solutions or biases, as they rely on shortcuts and may overlook important factors.