Algorithmic complexity is the shortest and most efficient program capable of producing a binary string. It plays an important role in computational complexity theory and algorithmic information theory. Objects and properties can also have algorithmic complexity, and complexity classes determine the relative difficulty of computing solutions to mathematical and logical problems. The principle of minimum […]
Computational complexity theory deals with the resources needed to solve problems on a computer system. Problems are classified by difficulty as polynomial (P) or non-polynomial (NP). Solving a computation requires resources such as time, storage space, and hardware. NP problems are more complex and may require more advanced options. Classifying P versus NP problems can […]
