👉 Overjump is a concept in mathematics and computer programming that refers to a situation where an algorithm or function performs exceptionally well on one dataset but poorly on another. This phenomenon occurs when a program's performance is significantly affected by its input, leading to unexpected results or even crashes. In the context of overjumping, it means that if two algorithms perform differently on different inputs, the first algorithm will perform better on some datasets and worse on others, while the second algorithm may perform consistently across all inputs.
