In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms… ...

This topic sits at the nexus of combinatorial optimisation and computational complexity, offering insights into both algorithm design and the inherent difficulty of various problem classes.

A major advance in computational complexity reveals deep connections between the classes of problems that computers can — and can’t — possibly do.

It was recently proven mathematically that memcomputing machines have the same computational power of nondeterministic Turing machines. Therefore, they can solve NP-complete problems in polynomial ...

Larry Stockmeyer, Classifying the Computational Complexity of Problems, The Journal of Symbolic Logic, Vol. 52, No. 1 (Mar., 1987), pp. 1-43 ...

They have defined multiple complexity classes, or categories, including P and NP problems.

He worked on computational complexity theory from late 1980's to early 2000's, including structural complexity, average-case complexity, and average NP-completeness.

A few of the games Viglietta assessed, such as Prince of Persia, fall into a different class, known as PSPACE-complete. These problems are solvable with a reasonable amount of computational memory.