👉 In computational complexity theory, a nonerrant algorithm is an algorithm that has the property of not making any mistakes. This means that the algorithm's output does not depend on the input it receives, and there are no "errors" in its computation.
Nonerrant algorithms can be used to solve certain problems efficiently because they avoid repeating calculations or performing operations that would result in a mistake. For example, a nonerrant algorithm for searching an unsorted list of numbers could find the correct position of
nonerrant