For example, novel algorithms have been developed that leverage the induced sorting principle, achieving reduced time and workspace complexities even when handling sparse data sets [1].

One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information.

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it's ...