FAQ

Can every problem with a solution that can be verified in polynomial time also be solved in polynomial time?

Can every problem with a solution that can be verified in polynomial time also be solved in polynomial time?

It is easy to see that the complexity class P (all problems solvable, deterministically, in polynomial time) is contained in NP (problems where solutions can be verified in polynomial time), because if a problem is solvable in polynomial time then a solution is also verifiable in polynomial time by simply solving the …

Can all problems be solved in exponential time?

Yes, every NP problem has an exponential-time algorithm.

Can all problems be solved in polynomial time?

In layman’s terms – if you solve a single NP-complete problem in polynomial time you have proven that NP = P. Yes, But if an NP solved in polynomial time, does it mean all the NP complete problems be solved in polynomial time.

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What are the problems that are solvable in polynomial time?

The class P consists of those problems that are solvable in polynomial time, i.e. these problems can be solved in time O(nk) in worst-case, where k is constant. These problems are called tractable, while others are called intractable or superpolynomial.

How many solutions of a problem are possible?

The 4 solutions to any problem. Life’s problems come in all shapes and sizes, and yet did you know that there are generally only 4 possible solutions to anything life throws at you? Once you know the 4 possible options, choosing how to move forward becomes easier.

What is the hardest solved math problem in the world?

In 2019, mathematicians finally solved a math puzzle that had stumped them for decades. It’s called a Diophantine Equation, and it’s sometimes known as the “summing of three cubes”: Find x, y, and z such that x³+y³+z³=k, for each k from 1 to 100.

What is polynomial time verification?

Polynomial verification of a solution. For a recognition problem, if we are given a guess of a solution we want to verify if this solution can help. us answer the problem. If we can “doublecheck” that the guess is a solution in polynomial time, we say that we can verify the solution in polynomial time.

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Is every problem solvable?

Every problem in NP is decidable (solvable). Just try out all possible “witnesses” for the verification algorithm. This can be understood as a brute force algorithm over the witnesses.

Which class of questions can be solved in polynomial time?

The general class of questions for which some algorithm can provide an answer in polynomial time is ” P ” or ” class P “. For some questions, there is no known way to find an answer quickly, but if one is provided with information showing what the answer is, it is possible to verify the answer quickly.

Is Boolean satisfiability a polynomial time problem?

For instance, the Boolean satisfiability problem is NP-complete by the Cook–Levin theorem, so any instance of any problem in NP can be transformed mechanically into an instance of the Boolean satisfiability problem in polynomial time. The Boolean satisfiability problem is one of many such NP-complete problems.

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What is NP (nondeterministic polynomial time)?

NP (which stands for nondeterministic polynomial time) is the set of problems whose solutions can be verified in polynomial time. But as far as anyone can tell, many of those problems take exponential time to solve. Perhaps the most famous exponential-time problem in NP, for example, is finding prime factors of a large number.

What is a polynomial-proportional problem set?

P is the set of problems whose solution times are proportional to polynomials involving N’s. Obviously, an algorithm whose execution time is proportional to N 3 is slower than one whose execution time is proportional to N.