Computational Complexity
Computational complexity is the branch of theoretical computer science that classifies computational problems by the amount of resources — typically time or memory — required to solve them as input size grows.
7 resources across 2 libraries
Glossary Terms(4)
Turing Machine
A Turing machine is a mathematical model of computation, introduced by Alan Turing in 1936, consisting of an infinite tape of cells, a read/write head, and a f…
NP-Complete Problem
An NP-complete problem is a decision problem that is both in the complexity class NP (its solutions can be verified quickly) and is at least as hard as every o…
Computational Complexity
Computational complexity is the branch of theoretical computer science that classifies computational problems by the amount of resources — typically time or me…
Halting Problem
The Halting Problem is the classic result in computability theory, proven by Alan Turing in 1936, showing that no general algorithm can exist that determines,…
Interview Questions(3)
What Does NP-Complete Mean?
A problem is NP-complete if it is in NP — meaning a proposed solution can be verified in polynomial time — and it is NP-hard, meaning every other problem in NP…
What is the P vs NP Problem?
P vs NP asks whether every problem whose solution can be verified quickly (in polynomial time, the class NP) can also be solved quickly from scratch (in polyno…
What is the Difference Between NP-Hard and NP-Complete?
NP-hard problems are at least as hard as every problem in NP, meaning any NP problem can be reduced to them in polynomial time, but they need not themselves be…