In this theory, the class P consists of all those
decision problems
(defined below) that can be solved on a deterministic sequential machine in an amount of time that is polynomial in the size of the input; the class NP consists of all those decision problems whose positive solutions can be verified in polynomial time …
How P class problem is different from NP class problem?
In this theory, the class P consists of all those decision problems (defined below) that can be solved on a deterministic sequential machine in an amount of time that is polynomial in the size of the input; the class NP consists of all those decision problems whose positive solutions can be verified in polynomial time …
How are p class problems different from NP class problems?
In this theory, the class P consists of all those decision problems (defined below) that can be solved on a deterministic sequential machine in an amount of time that is polynomial in the size of the input; the class NP consists of all those decision problems whose positive solutions can be verified in polynomial time …
What is the difference between NP-hard and NP-complete problems?
| NP-hard NP-Complete | To solve this problem, it do not have to be in NP . To solve this problem, it must be both NP and NP-hard problems. |
|---|
Who Solved P versus NP problem?
Now, a German man named
Norbert Blum
has claimed to have solved the above riddle, which is properly known as the P vs NP problem. Unfortunately, his purported solution doesn’t bear good news. Blum, who is from the University of Bonn, claims in his recently published 38-page paper that P does not equal NP.
What happens if P vs NP is solved?
If P equals NP,
every NP problem would contain a hidden shortcut
, allowing computers to quickly find perfect solutions to them. But if P does not equal NP, then no such shortcuts exist, and computers’ problem-solving powers will remain fundamentally and permanently limited.
Are NP problems solvable?
The short answer is that
if a problem is in NP, it is indeed solvable
.
What is NP-hard problem with example?
Examples. An example of an NP-hard problem is the
decision subset sum problem
: given a set of integers, does any non-empty subset of them add up to zero? That is a decision problem and happens to be NP-complete.
Is traveling salesman NP-hard?
In Chapter 15 we introduced the Traveling Salesman Problem (TSP) and showed that it is NP-hard (Theorem 15.42). The TSP is perhaps the best-studied NP-hard combinatorial optimization problem, and there are many techniques which have been applied.
Which type of problem may be NP-hard?
A problem is NP-hard if all problems in
NP are polynomial time reducible to it
, even though it may not be in NP itself. If a polynomial time algorithm exists for any of these problems, all problems in NP would be polynomial time solvable.
Is NP equal to P?
6 Answers. P stands for polynomial time. NP stands for
non-deterministic polynomial time
.
What is the hardest math problem?
But those itching for their Good Will Hunting moment, the Guinness Book of Records puts
Goldbach’s Conjecture
as the current longest-standing maths problem, which has been around for 257 years. It states that every even number is the sum of two prime numbers: for example, 53 + 47 = 100.
Are there any computational problems that are neither in P nor in NP?
Are there any computational problems that are neither in P nor in NP?
Yes
, there are computational problems that are not in NP (and so are not in P either). … Given a program p and a string x that is thought of as an input to program p, determine whether running p(x) will ever stop.
Why does P vs NP matter?
Roughly speaking,
P is a set of relatively easy problems
, and NP is a set that includes what seem to be very, very hard problems, so P = NP would imply that the apparently hard problems actually have relatively easy solutions.
Is chess an NP problem?
For two-player games, one encounters a similar phenomenon at a higher level of complexity. … For this reason games like
chess cannot themselves be NP-complete
, as they only have a finite (albeit unthinkably large) number of possible positions.
Is it possible that P NP is undecidable?
Because this states that there must be an algorithm for generating solutions in polynomial time. If an algorithm exists, we should be able to find it, and hence prove P = NP.
If P != NP (P does not equal NP)
, then this could be undecidable or decidable.
