What is an algorithm?

An algorithm is a sequence of explicit steps for solving a problem or performing a task. It is independent of a particular programming language and can be implemented in several languages. A recipe offers an analogy, but computers require ambiguous instructions to become precise operations.

How do inputs, conditions and loops fit together?

An algorithm receives inputs, applies rules and produces results. To find a list’s largest value, begin with its first item, compare subsequent values and replace the recorded maximum when a larger value appears. Conditions choose between steps, and loops repeat operations. Empty lists, ties and invalid inputs need explicit treatment. Computers follow defined rules rather than automatically inferring unspecified intentions. Flowcharts and pseudocode can explain the method before implementation.

Why are correctness and efficiency different?

A method may give correct results yet consume excessive time or memory as data grows. Efficiency concerns not only elapsed time in a small example but how required work increases with input size. Tests should cover normal, boundary and error cases. Sorting or recommendation results depend on rules and input data. Algorithm does not mean artificial intelligence: learning systems use algorithms, but not all algorithms learn from data. A method cannot be declared best without defining the measure of success.