0
NP stands for Nondeterministic Polynomial time, and is a class of complexity of problems. A problem is in NP if the computing time needed grows exponentially with the amount of input, but it only takes polynomial time to determine if a given solution is correct or not.
It is called nondeterministic because a computer that always automatically chooses the right course of action in each step would come up with a correct solution in polynomial time.
Wiki User
∙ 13y ago
Add your answer:
Earn +20 pts
What is the difference between P and NP complexity classes?
P is the class of problems for which there is a deterministic polynomial time algorithm which computes a solution to the problem. NP is the class of problems where there is a nondeterministic algorithm which computes a solution to the problem, but no known deterministic polynomial time solution
What is the difference between NP and NP Complete problems?
- a problem in NP means that it can be solved in polynomial time with a non-deterministic turing machine - a problem that is NP-hard means that all problems in NP are "easier" than this problem - a problem that is NP-complete means that it is in NP and it is NP-hard example - Hamiltonian path in a graph: The problem is: given a graph as input, an algorithm must say whether there is a hamiltonian path in it or not. in NP: here is an algorithm that works in polynomial time on a non-deterministic turing machine: guess a path in the graph. Check that it is really a hamiltonian path. NP-hard: we use reduction from a problem that is NP-comlete (SAT for example). Given an input for the other problem we construct a graph for the hamiltonian-path problem. The graph should have a path iff the original problem should return "true". Therefore, if there is an algorithm that executes in polynomial time, we solve all the problems in NP in polynomial time.j
2. What are some of the traditional problems in computer investigations?
what are some problems conected with computer investigations
Is Node-disjoint paths np-complete?
No. Verifying if I'm lying is NP-Complete.
What is a computer network in 8th class books?
what is the another name for computer network
What is the difference between P and NP complexity classes?
P is the class of problems for which there is a deterministic polynomial time algorithm which computes a solution to the problem. NP is the class of problems where there is a nondeterministic algorithm which computes a solution to the problem, but no known deterministic polynomial time solution
What does NP equal P mean?
It is still an open question. NP is the class of problems which can be solved in polynomial time by a program run by the theoretical non-deterministic machine. (That is, there is a polynomial upper-bound for the time it would take for the machine to compute the answer, with respect to the size of the input). P is the class of problems which can be solved in polynomial time by a program run by an actual computer (or some abstract model thereof). So far it is not known for sure whether the two classes are the same or not. There are many problems which are known to be NP, and for which no polynomial solution for a real computer is known. However, there is currently no proof that such a solution does not exist (perhaps it does and no one has found it yet). That is why whether P equals NP or not is still an open problem.
How do you explain what P NP and NP complete complexity classes are in a simple way?
P is the class of problems that can be solved in polynomial time. That is, the size of the input affects the length of the computation multiplicatively. NP is the class of problems in which the effect of input size on the length of the computation is exponential or factorial. In addition, for a problem to be in this class, a proposed or candidate solution must be checkable in polynomial time. The usual example here has to do with multiplication and factoring. You can take two very long prime numbers and quickly multiply them. So multiplication is in P. Given the result of that multiplication, the task of finding its prime factors is not easy. That is, there is no known algorithm that can solve the factoring problem (given very large numbers) in polynomial time. Within the NP class is a subclass consisting of the hardest problems in NP. A problem belonging to this class is called NP-complete. This means that, if a solution can be found to this problem (examples include the travelling salesman problem and the trunk-packing problem), then that solution can be transformed into a solution for all NP problems.
What does the term NP stand for on a computer?
NP stands for Nondeterministic Polynomial.
Is an LPN a higher class of nurse than an NP?
A NP is a much higher class of nurse than a LPN. LPN requires only a certificate program whereas NP requires a bachelor's equivalency and much more additional schooling.
Difference between np and np complete?
A problem is 'in NP' if there exists a polynomial time complexity algorithm which runs on a Non-Deterministic Turing Machine that solves it. A problem is 'NP Hard' if all problems in NP can be reduced to it in polynomial time, or equivalently if there is a polynomial-time reduction of any other NP Hard problem to it. A problem is NP Complete if it is both in NP and NP hard.
Difference between np hard and np complete?
All NP complete problems are NP hard problems when solved in a different way. But, all NP hard problems are not NP complete. Ex: 1. Traveling salesman problem. It is both NP hard and NP complete. We can find that whether the solution is correct or not in the given period of time. In this way, it is NP complete. But, to find the shortest path, i.e. optimization of Traveling Salesman problem is NP hard. If there will be changing costs, then every time when the salesperson returns to the source node, then he will be having different shortest path. In this way, it is hard to solve. It cannot be solved in the polynomial time. In this way, it is NP hard problem. 2. Halting problem. 3. Sum of subset problem.
What is the answer to P equals NP?
This is an unsolved problem in computer science; you can't expect to get an answer here, for a problem that nobody on Earth has solved yet! For more information, read the Wikipedia article "P versus NP problem". Briefly, it relates to the question whether or not there are problems that are "hard" to solve, but - once solved - "easy" to verify. This is one of the "millenium problems"; if you can find a proof that P = NP, or (more likely) that it isn't, you can earn a prize of a million dollars.
What is the difference between NP and NP Complete problems?
- a problem in NP means that it can be solved in polynomial time with a non-deterministic turing machine - a problem that is NP-hard means that all problems in NP are "easier" than this problem - a problem that is NP-complete means that it is in NP and it is NP-hard example - Hamiltonian path in a graph: The problem is: given a graph as input, an algorithm must say whether there is a hamiltonian path in it or not. in NP: here is an algorithm that works in polynomial time on a non-deterministic turing machine: guess a path in the graph. Check that it is really a hamiltonian path. NP-hard: we use reduction from a problem that is NP-comlete (SAT for example). Given an input for the other problem we construct a graph for the hamiltonian-path problem. The graph should have a path iff the original problem should return "true". Therefore, if there is an algorithm that executes in polynomial time, we solve all the problems in NP in polynomial time.j
What are some transformice tribe house codes?
House codes:/np @931629/np @709003Bootcamp like codes:/np @172976/np @608368/np @191205/np @842019/np @159932/np @593204/np @145219/np @1450120/np @449496/np @618999/np @801683/np @1014313/np @1444036/np @633644/np @808800/np @1444041Thats all I got sorry if some don't work I didn't check them allIf you want to find me on TFM my user is Butterbe
What are some house tribe codes?
House codes: /np @931629 /np @709003 Bootcamp like codes: /np @172976 /np @608368 /np @191205 /np @842019 /np @159932 /np @593204 /np @145219 /np @1450120 /np @449496 /np @618999 /np @801683 /np @1014313 /np @1444036 /np @633644 /np @808800 /np @1444041 That's all I know, but I hope it'll be to help ^^
What is P in a CS?
In computer science, P typically refers to the complexity class of decision problems that can be solved in polynomial time by a deterministic Turing machine. Problems in this class are considered tractable and efficiently solvable within a reasonable time frame.
