The time is proportional to the input size and very efficient. Contrast with "exponential time," which takes considerably longer to solve the problem. See complexity classes .

Complexity theory is a branch of computer science that studies the resources required to solve computational problems, ... Polynomial Time Algorithm: ...

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… ...

Algorithmic Complexity: The study of the computational resources required to solve a given problem, typically measured in time and space. Polynomial Threshold Function (PTF): A Boolean function ...

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.

If it were possible to write a programme that could “solve” this problem efficiently, that is, write a programme that takes time that scales as a polynomial in variables, and this is possible ...

Mark Jerrum, Alistair Sinclair (UC Berkeley) and Eric Vigoda (Georgia Tech) received the Association for Computing Machinery (ACM) Test of Time Award at a virtual ceremony on Wednesday 23 June at the ...