# Question: What Does Polynomial Time Mean?

## How do you know if it is a polynomial?

In particular, for an expression to be a polynomial term, it must contain no square roots of variables, no fractional or negative powers on the variables, and no variables in the denominators of any fractions.

Here are some examples: This is NOT a polynomial term….

## Is O 1 A polynomial time?

O(1), O(N), O(log(N)) are also polynomial time.

## What is considered polynomial time?

An algorithm is said to be solvable in polynomial time if the number of steps required to complete the algorithm for a given input is for some nonnegative integer , where is the complexity of the input.

## How do you prove that the Hamiltonian cycle is NP complete?

A = {w | V accepts (w, c) for some string c} where c is certificate or proof that w is a member of A. If the 2nd condition is only satisfied then the problem is called NP-Hard. for C in NP, then C is NP-Complete. We have to show Hamiltonian Path is NP-Complete.

## Is N 2 a polynomial?

O(n^2) is polynomial time. The polynomial is f(n) = n^2. On the other hand, O(2^n) is exponential time, where the exponential function implied is f(n) = 2^n. The difference is whether the function of n places n in the base of an exponentiation, or in the exponent itself.

## How do you prove a problem is P?

To prove P=NP, you could construct a polynomial time algorithm for any NP complete problem ( emphasis on complete ). If you could do this, then you could also convert this algorithm in polynomial time to a form that can solve any problem in NP.

## What does polynomial in n mean?

1 Answer. 1. order by. 0. To say that the complexity is polynomial in n” means that there exists some polynomial p such that the running time is O(p(n)).

## Why is polynomial time efficient?

For any practical application(a), algorithms with complexity nlogn are way faster than algorithms that run in time, say, n80, but the first is considered inefficient while the latter is efficient. …

## Is Y 1 xa a polynomial?

1/x is not a polynomial. The power of any term in a polynomial should be a non negetive integer. … Is this equation y=√6x²+1 a polynomial function?

## Is constant time polynomial?

Polynomial time describes any run time that does not increase faster than n k n^k nkn, start superscript, k, end superscript, which includes constant time ( n 0 n^0 n0n, start superscript, 0, end superscript), logarithmic time ( log ⁡ 2 n \log_2{n} log2nlog, start base, 2, end base, n), linear time ( n 1 n^1 n1n, start …

## What is polynomial time problem?

A polynomial-time algorithm is an algorithm whose execution time is either given by a polynomial on the size of the input, or can be bounded by such a polynomial. Problems that can be solved by a polynomial-time algorithm are called tractable problems. … Sorting algorithms usually require either O(n log n) or O(n2) time.

## Does P reduce to NP?

All P problems are NP. So, “polynomial time reduction of a P problem to an NP problem” is pretty trivial, and doesn’t prove anything very interesting. An NP problem is one where you can provide some kind of proof that the answer is correct, which can be verified in polynomial time. That’s what NP means.

## What defines a polynomial?

In mathematics, a polynomial is an expression consisting of variables (also called indeterminates) and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponentiation of variables. An example of a polynomial of a single indeterminate x is x2 − 4x + 7.

## Is N factorial polynomial?

The factorial n! is not a polynomial, In fact n! grows faster than a^n for any a. The number of terms in the product grows unbounded.

## What do you mean by polynomial time reduction?

In computational complexity theory, a polynomial-time reduction is a method for solving one problem using another. … If both the time required to transform the first problem to the second, and the number of times the subroutine is called is polynomial, then the first problem is polynomial-time reducible to the second.